JP2019090125A - Portable information processing device and program - Google Patents

Abstract

To provide a portable information processing device and a program capable of improving the accuracy of measuring the number of plural filaments.SOLUTION: A processor acquires first imaging data of a first reference image including first filaments the number of which is a first reference value, measures a first actual measurement value of the number of the first filaments, acquires second imaging data of a second reference image including second filaments the number of which is a second reference value, measures a second actual measurement value of the number of the second filaments, acquires third imaging data of a third reference image including third filaments the number of which is a third reference value, measures a third actual measurement value of the number of the third filaments, calculates a correction coefficient according to a first correction value corresponding to a first difference value between the first reference value and the first actual measurement value, a second correction value corresponding to a second difference value between the second reference value and the second actual measurement value, and a third correction value corresponding to a third difference value between the third reference value and the third actual measurement value, acquires fourth imaging data of a measurement target object including fourth filaments, measures a fourth actual measurement value of the number of the fourth filaments, calculates the corrected number obtained by correcting the fourth actual measurement value by the correction coefficient, and outputs the corrected number to a display device.SELECTED DRAWING: Figure 8

Description

  The present invention relates to a portable information processing apparatus that measures the number of a plurality of filaments.

  Techniques for measuring the number of multiple filaments have been proposed. For example, the patent applicant has proposed a filament inspection method and a filament inspection apparatus in Patent Document 1. In the filament inspection method and the filament inspection apparatus, two-dimensional spatial texture features of the fabric are extracted, and the yarn crossing angle, the number of warps and the number of wefts are mathematically determined. The above-described texture feature extraction algorithm includes the following steps (1) to (5). That is, (1) Digital image data of fabric is acquired from a digital still camera. (2) Perform window function processing on digital image data. (3) Fast Fourier Transform the windowed digital image data to obtain a Fourier spectrum. (4) Extract the peak of the Fourier spectrum. (5) The information (angle, frequency) of each peak is made to correspond to the texture feature amount (thread crossing angle, number of warps and number of wefts) of the fabric. The filament inspection method and the filament inspection apparatus inspect a film, a sheet, a screen or a plate on which a mesh filament is formed by printing or etching, as well as the fabric. For example, the filament inspection method and the filament inspection apparatus inspect an electromagnetic wave shield filter for plasma display, a separation filter for biochemistry, a screen tile or screen door for printing.

  Non-Patent Document 1 discloses a technique related to fast Fourier transform (FFT). Non-Patent Document 2 discloses a technique related to nonlinear least squares method (polynomial approximation).

Patent No. 4520794

Koichi Sakai, "Introduction to Digital Image Processing with Visual Basic & Visual C ++", CQ Publishing Co., Ltd., 2003 Kanetani Kenichi, "From this basic theory of optimization mathematics to calculation methods that can be understood by this, calculation methods", Kyoritsu Publishing Co., Ltd., 2005

  According to the above-mentioned technique proposed by the patent applicant, it is possible to measure the number of a plurality of filaments parallel to one another in a specific direction such as warp and weft. The inventor examined a technology capable of measuring the number of a plurality of filaments using a portable information processing device without using a large-sized device. At that time, the inventor considered that even in the portable information processing apparatus, it was possible to measure a plurality of filaments with high accuracy.

  An object of the present invention is to provide a portable information processing apparatus and program capable of improving the measurement accuracy of the number of a plurality of filaments.

  One aspect of the present invention comprises a processor, wherein the processor is configured to capture a plurality of first filaments parallel to each other along a setting direction in which the number per unit length is set to a first reference value. A first acquisition process of acquiring first imaging data corresponding to a first reference image including the first image data, and an actual measurement value of the number of the first filament per unit length for the first imaging data as a processing target A first measurement process for measuring a first actual measurement value, and each other along the setting direction which is imaged by the imaging device and the number per unit length is set to a second reference value larger than the first reference value A second acquisition process for acquiring second imaging data corresponding to a second reference image including a plurality of parallel second filaments; and the unit length of the second filaments for processing the second imaging data It is the actual value of the number of hits Second measurement processing for measuring two actual measurement values; parallel to each other along the setting direction which is imaged by the imaging device and the number per unit length is set to a third reference value larger than the second reference value A third acquisition process for acquiring third imaging data corresponding to a third reference image including a plurality of third filaments, and the number per unit length of the third filaments for the third imaging data as a processing target A third measurement process for measuring a third actual measurement value which is an actual measurement value, a first correction value according to a first difference value which is a difference between the first reference value and the first actual measurement value, and the second A second correction value according to a second difference value which is a difference between a reference value and the second actual measurement value, and a third correction value according to a third difference value which is a difference between the third reference value and the third actual measurement value First calculation processing for calculating a correction coefficient according to three correction values, and imaging by the imaging device A fourth acquisition process for acquiring fourth imaging data corresponding to a measurement object including a plurality of parallel fourth parallel stripes along the setting direction; and the fourth line with the fourth imaging data as a processing target A fourth measurement process for measuring a fourth actual measurement value which is an actual measurement value of the number per unit length of the strip; and a second calculation process for calculating a correction number in which the fourth actual measurement value is corrected by the correction coefficient; It is a portable information processing apparatus which performs the output process which outputs the said correction number to the display apparatus which displays the said correction number.

  According to this portable information processing apparatus, the correction coefficient can be calculated from the first reference image, the second reference image, and the third reference image. The number of the plurality of fourth filaments can be corrected by the correction coefficient. The number of corrections can be displayed on the display device.

  In the portable information processing apparatus, the first calculation processing is processing of calculating the first correction value by dividing the first difference value by the first actual measurement value, and the second measurement of the second difference value. A process of calculating the second correction value by dividing by a value, and a process of calculating the third correction value by dividing the third difference value by the third actual value may be included. . In this case, the first calculation process inputs the first actual measurement value, the second actual measurement value, and the third actual measurement value, and the first correction value, the second correction value, and the third correction value. The processing may be such that the correction coefficient is calculated by executing a Gaussian elimination method as a value. According to these configurations, it is possible to calculate the correction coefficient that contributes to the improvement of the measurement accuracy of the number of the plurality of fourth filaments.

  The portable information processing device may be an integrated device including the processor, the imaging device, and the display device. According to this configuration, the measurement of the number of the plurality of fourth filaments can be performed easily and smoothly.

  According to another aspect of the present invention, a processor for controlling a portable information processing apparatus is provided with a plurality of processors parallel to one another, which are imaged by an imaging apparatus and whose number per unit length is set to a first reference value. A first acquisition process of acquiring first imaging data corresponding to a first reference image including a first filament; and the number of the first imaging data per unit length of the first A first measurement process of measuring a first actual measurement value which is an actual measurement value; and the setting direction which is imaged by the imaging device and in which the number per unit length is set to a second reference value larger than the first reference value. A second acquisition process for acquiring second imaging data corresponding to a second reference image including a plurality of second filaments parallel to one another, and the second imaging data as a processing target Measurement of the number per unit length A second measurement process of measuring a second actual measurement value, and the setting direction in which an image is captured by the imaging device and the number per unit length is set to a third reference value larger than the second reference value A third acquisition process of acquiring third imaging data corresponding to a third reference image including a plurality of parallel parallel third filaments, and the unit length of the third filaments for processing the third imaging data A third measurement process for measuring a third actual measurement value which is an actual measurement value of the number of hits, a first correction value according to a first difference value which is a difference between the first reference value and the first actual measurement value; A second correction value corresponding to a second difference value which is a difference between the second reference value and the second actual measurement value, and a third difference value which is a difference between the third reference value and the third actual measurement value A first calculation process for calculating a correction coefficient according to a third correction value according to A fourth acquisition process for acquiring fourth imaging data corresponding to a measurement object including a plurality of parallel parallel fourth filaments along the set direction, and the fourth imaging data as a processing target; A fourth measurement process for measuring a fourth actual measurement value which is an actual measurement value of the number per unit length of the four filaments, and a second calculation process for calculating a correction number in which the fourth actual measurement value is corrected by the correction coefficient And an output process of outputting the number of corrections to a display device for displaying the number of corrections.

  According to this program, the correction coefficient can be calculated from the first reference image, the second reference image, and the third reference image in the portable information processing apparatus. The number of the plurality of fourth filaments can be corrected by the correction coefficient. The number of corrections can be displayed on the display device. This program can also be a program specified by the same items as the above-mentioned portable information processing device.

  According to the present invention, it is possible to obtain a portable information processing apparatus and program capable of improving the measurement accuracy of the number of a plurality of filaments.

It is a block diagram which shows an example of schematic structure of a portable information processing apparatus. The upper part is a perspective view schematically showing an example of a state in which the object to be measured is imaged by the imaging device. The lower part is a plan view showing an example of a schematic configuration of a measurement object. The elements on larger scale of a measurement object surface are shown. The upper part is a perspective view schematically showing an example of a state in which the first reference image is captured by the imaging device. The lower part is a plan view showing an example of a schematic configuration of the first sample. The partial enlarged view of a 1st reference | standard image is shown. The upper part is a perspective view schematically showing an example of a state in which the second reference image is captured by the imaging device. The lower part is a plan view showing an example of a schematic configuration of the second sample. The partial enlarged view of a 2nd reference | standard image is shown. The upper part is a perspective view schematically showing an example of a state in which the third reference image is captured by the imaging device. The lower part is a plan view showing an example of a schematic configuration of the third sample. The partial enlarged view of a 3rd reference | standard image is shown. It is a figure which shows an example of schematic structure of an operation screen. 3 corresponds to the upper part of FIG. 3 and shows a state in which the range of the first reference image that matches the imaging range is displayed in the preview area. It is a flowchart of the 1st part of main processing. It is a flowchart of the 2nd part of main processing. It is a figure which shows an example of schematic structure of an operation screen. It corresponds to the upper part of FIG. 2 and shows a state in which the range of the surface of the measurement object that matches the imaging range is displayed in the preview area. The operation screen includes the number (the number of corrections) per unit length of the plurality of fourth filaments included in the measurement object. It is a flowchart of a 1st measurement process. It is a flowchart of a 2nd measurement process. It is a flowchart of 3rd measurement processing. It is a flowchart of a 4th measurement process. It is a flowchart of measurement processing. It is a flowchart of a first calculation process.

  Embodiments for carrying out the present invention will be described using the drawings. The present invention is not limited to the configurations described below, and various configurations can be adopted in the same technical idea. For example, part of the configuration described below may be omitted or replaced with another configuration or the like. Other configurations may be included.

<Portable Information Processing Device>
The portable information processing apparatus 10 will be described with reference to FIGS. 1 to 6. The portable information processing apparatus 10 is a portable computer. The portable information processing device 10 includes a processor 11, a storage 12, a memory 13, an operation device 14, a display device 15, and an imaging device 17 (see FIG. 1). As the portable information processing apparatus 10, for example, a smartphone, a tablet terminal, or a laptop personal computer is exemplified. In the embodiment, a smart phone is illustrated as the portable information processing apparatus 10 (see upper stages in FIGS. 2 to 5). A smartphone as the portable information processing device 10 is an integrated device incorporating the above-described units.

  The processor 11 is a control device that controls the portable information processing device 10. The processor 11 executes arithmetic processing to control the portable information processing apparatus 10. The processor 11 is, for example, a CPU.

  The storage 12 is a flash memory. However, the storage 12 may be a storage medium different from the flash memory. For example, the storage 12 may be a hard disk. The storage 12 stores an OS (Operating System) and various programs. The program stored in the storage 12 includes the program of the main process (see FIGS. 7 and 8). The program of the main process includes the program of each process shown in FIGS.

  The main processing program is pre-installed on the storage 12. The portable information processing apparatus 10 acquires the program of the main process, for example, as follows. That is, the portable information processing device 10 downloads the program of the main process from a predetermined server device storing the program. The aforementioned server apparatus stores the aforementioned program in a computer readable storage medium. In addition to this, the portable information processing apparatus 10 may read the program of the main processing from a computer readable storage medium. The computer readable storage medium is a non-transitory storage medium. The computer readable storage medium does not include a temporary storage medium. As a non-temporary storage medium, a magnetic disk, an optical disk or a semiconductor memory is exemplified. A transmission signal is illustrated as a temporary storage medium.

  The memory 13 is a storage area when the processor 11 executes the OS stored in the storage 12 and various programs. The memory 13 stores predetermined data in a predetermined storage area during execution of processing. The memory 13 is, for example, a RAM. In the portable information processing apparatus 10, the processor 11 executes the OS and various programs stored in the storage 12. Along with this, in the portable information processing apparatus 10, various types of processing are executed, and a function corresponding to the executed processing is realized.

  The controller device 14 receives various instructions input to the portable information processing apparatus 10. When the portable information processing device 10 is a smart phone, the operation device 14 includes a touch pad as in the case of a known smart phone. The operator of the portable information processing apparatus 10 performs, for example, each operation of tap, pinch, flick or swipe on the operation device 14 by the touch pad. In the embodiment, the operator of the portable information processing apparatus 10 is referred to as a "user". The operation device 14 receives an instruction corresponding to each operation. In the embodiment, the operation device 14 may include a predetermined hard key. The processor 11 acquires from the operating device 14 a predetermined instruction received by the operating device 14.

  The display device 15 displays predetermined information. For example, when executing the main processing, the display device 15 displays the operation screen 30 for the main processing (see FIG. 6). In each upper stage of FIGS. 2 to 5, the illustration of the operation screen 30 is omitted. The operation screen 30 will be described later. As the display device 15, a liquid crystal display is exemplified. When the portable information processing device 10 is a tablet terminal, the operation device 14 and the display device 15 by a touch pad are integrated and become a touch panel 16.

  The imaging device 17 is a camera. The imaging device 17 has an autofocus function. The imaging device 17 images the outside world. An image captured by the imaging device 17 is a color still image. Therefore, the imaging data corresponding to the above-mentioned image is image data corresponding to a color still image. In the embodiment, the imaging device 17 images the measurement object 40 (see the upper part of FIG. 2). Furthermore, the imaging device 17 captures the first reference image 51 of the first sample 50, captures the second reference image 61 of the second sample 60, and captures the third reference image 71 of the third sample 70 (see FIG. 3 to 5 in each upper stage). The measurement object 40, the first sample 50, the second sample 60, and the third sample 70 will be described later.

  The portable information processing device 10 functions as the next measuring device with the activation of the main processing program. The above-mentioned measuring device is a device which measures the number per unit length of a plurality of parallel parallel fourth filaments along the setting direction. The setting direction is an arbitrary direction. The unit length is a dimension in the direction orthogonal to the setting direction. The unit length is, for example, 1 inch. In an embodiment, the unit length is 1 inch. However, the unit length may be a dimension different from this. In the case of measuring the number per unit length of the plurality of fourth filaments, in the portable information processing apparatus 10, the processor 11 executes the processing proposed by the applicant in Patent Document 1. The fourth filament will be described later together with the measurement object 40.

  The portable information processing apparatus 10 executes calibration for this measurement when measuring the number of the plurality of fourth filaments per unit length. In this calibration, the portable information processing device 10 measures the number per unit length of the plurality of first filaments parallel to one another along the setting direction, and selects the plurality of second parallel plurality along the setting direction. The number per unit length of the filaments is measured, and the number per unit length of the plurality of parallel third filaments along the set direction is measured. In the portable information processing apparatus 10, the above-described calibration is performed in accordance with the measurement results of the first, second, and third filaments. The first, second and third filaments will be described later together with the first sample 50, the second sample 60 and the third sample 70.

  In the state where the distance L between the measurement target object 40, the first sample 50, the second sample 60, and the third sample 70 becomes a fixed dimension, the portable information processing apparatus 10, for example, the measurement target object 40, the first sample 50 and the second sample 60 and the third sample 70 in the vertical direction (see the upper stages in FIGS. 2 to 5). The distance L is a distance between the imaging device 17 and the surfaces of the measurement object 40, the first sample 50, the second sample 60, and the third sample 70. In each upper stage of FIGS. 2 to 5, a two-dot chain line arranged in a quadrangular pyramid shape is an illustration for illustrating the imaging range A of the imaging device 17. The distance L may be set to a distance such that the width W in the direction orthogonal to the setting direction of the imaging range A matches the unit length. In the embodiment, the width W of the imaging range A is a dimension that matches the unit length.

  The portable information processing apparatus 10 is different from a known portable information processing apparatus in that a program of main processing is stored in the storage 12. However, in terms of hardware, the portable information processing apparatus 10 is the same apparatus as a known portable information processing apparatus. The portable information processing apparatus 10 has a configuration provided in a known portable information processing apparatus in addition to the above-described units. For example, the portable information processing device 10 includes a communication device compatible with a predetermined communication method. The communication device connects the portable information processing device 10 to a communication network. The communication device performs data communication with another information processing device connected to the communication network. The portable information processing apparatus 10 may also include a reading device. The reader reads data from the next storage medium. The reader writes the data to the next storage medium. The aforementioned storage medium is, for example, a memory card. For example, it is assumed that the portable information processing apparatus 10 is a portable computer different from a smartphone. In such a case, the aforementioned storage medium may be an optical disc or a magnetic disc. Furthermore, the imaging device 17 may have a function of capturing a moving image.

<Measurement object, first sample, second sample, third sample>
The measurement object 40 will be described with reference to FIG. The first sample 50 will be described with reference to FIG. The second sample 60 will be described with reference to FIG. The third sample 70 will be described with reference to FIG.

  The measurement object 40 includes various objects in which a plurality of fourth filaments are arranged along the setting direction. The measurement object 40 is exemplified by a woven fabric, a knitted fabric, an electromagnetic wave filter, a separation filter, a screen weir or a screen door. For example, it is assumed that the measurement object 40 is a fabric (see FIG. 2). In this case, the fourth filament is a warp yarn 41 or a weft yarn 42 (see the lower part of FIG. 2). When the fourth filament is a warp 41, the setting direction is a warp direction. The warp direction is a direction along the warp 41. When the fourth filament is the weft yarn 42, the setting direction is the weft yarn direction. The weft direction is a direction along the weft.

  The first sample 50 includes a first reference image 51 (see FIG. 3). The first sample 50 is a standard sample formed such that the first reference image 51 can be imaged on a predetermined medium. For example, the first sample 50 is a standard sample on which the first reference image 51 is printed so as to be imaged on the surface of the recording medium. In the embodiment, the first sample 50 is a standard sample on which the first reference image 51 is printed so as to be imaged on the surface of the recording medium. The first reference image 51 is an image including a plurality of parallel first parallel streaks along the setting direction (see the lower part of FIG. 3). In the first reference image 51, the number per unit length of the plurality of first filaments is set to a first reference value. In the embodiment, the first reference value is 50 lines / inch. The first reference image 51 is captured by the imaging device 17 (see the upper part of FIG. 3). In the first sample 50, the surface on which the first reference image 51 is formed is flat.

  The second sample 60 includes a second reference image 61 (see FIG. 4). The second sample 60 is a standard sample formed such that the second reference image 61 can be imaged on a predetermined medium. For example, the second sample 60 is a standard sample printed with the second reference image 61 in an imageable state on the surface of the recording medium. In the embodiment, the second sample 60 is a standard sample printed with the second reference image 61 in an imageable state on the surface of the recording medium. The second reference image 61 is an image including a plurality of parallel second streaks along the setting direction (see the lower part of FIG. 4). In the second reference image 61, the number per unit length of the plurality of second filaments is set to a second reference value larger than the first reference value. In the embodiment, the second reference value is 100 pcs / inch. The second reference image 61 is captured by the imaging device 17 (see the upper part of FIG. 4). In the second sample 60, the surface on which the second reference image 61 is formed is flat.

  The third sample 70 includes a third reference image 71 (see FIG. 5). The third sample 70 is a standard sample formed such that the third reference image 71 can be imaged on a predetermined medium. For example, the third sample 70 is a standard sample on which the third reference image 71 is printed so as to be imaged on the surface of the recording medium. In the embodiment, the third sample 70 is a standard sample printed with the third reference image 71 ready for imaging on the surface of the recording medium. The third reference image 71 is an image including a plurality of parallel parallel third streaks along the setting direction (see the lower part of FIG. 5). In the third reference image 71, the number per unit length of the plurality of third filaments is set to a third reference value larger than the second reference value. In the embodiment, the third reference value is 200 lines / inch. The third reference image 71 is captured by the imaging device 17 (see the upper part of FIG. 5). In the third sample 70, the surface on which the third reference image 71 is formed is flat.

  The user prepares the first sample 50, the second sample 60 and the third sample 70 in advance. For example, the user performs the following work. That is, the user operates the portable information processing apparatus 10 or a different known information processing apparatus. The portable information processing apparatus 10 or a known information processing apparatus different from this corresponds to the image data corresponding to the first reference image 51, the image data corresponding to the second reference image 61, and the third reference image 71. Store image data. Each image data described above may be downloaded from a predetermined server device. The portable information processing apparatus 10 or a known information processing apparatus different therefrom is connected to the printing apparatus. The printing apparatus prints the first reference image 51, the second reference image 61, and the third reference image 71 on the recording medium, corresponding to the above-described operation by the user.

  In the embodiment, the first sample 50, the second sample 60 and the third sample 70 are separated (see FIGS. 3 to 5). The first sample 50, the second sample 60, and the third sample 70 may have a format in which the first reference image 51, the second reference image 61, and the third reference image 71 are appropriately arranged on one recording medium. A sheet is exemplified as the recording medium. However, the recording medium may be a medium different from the sheet. A well-known recording medium can be employ | adopted as a recording medium.

<Operation screen>
The operation screen 30 for main processing will be described with reference to FIG. The operation screen 30 shown in FIG. 6 corresponds to the case where the portable information processing apparatus 10 is in the state shown in the upper part of FIG. The operation screen 30 includes a preview area 31, an AF (Auto Focus) button 32, a first sample button 33, a second sample button 34, a third sample button 35, a calibration button 36, and a measurement instruction frame 37. And an end button 38. The preview area 31 is an area in which an image corresponding to the imaging range A is displayed.

  The AF button 32 is an operation button for instructing execution of autofocus in the imaging device 17. The AF button 32 is associated with an AF instruction. For example, the user taps (presses) the AF button 32 after the portable information processing apparatus 10 is in the state illustrated in each upper stage of FIGS. 2 to 5. It is assumed that the AF button 32 is tapped and this tap is accepted by the operation device 14. In this case, the processor 11 acquires an AF instruction. Along with this, the processor 11 outputs an AF command to the imaging device 17. The AF command is an execution command of autofocus to the imaging device 17. The imaging device 17 is disposed on the surface of any of the first sample 50, the second sample 60, the third sample 70, and the measurement object 40, which is disposed with respect to the portable information processing device 10 according to the AF command. Automatically focus.

  The first sample button 33 is an operation button for instructing execution of the first acquisition process (see S17 of FIG. 7). The first sample button 33 is associated with the first acquisition instruction. The first acquisition instruction is an execution instruction of the first acquisition process. The user taps the first sample button 33 after the portable information processing apparatus 10 and the first sample 50 are in the state shown in the upper part of FIG. It is assumed that the first sample button 33 is tapped and this tap is accepted by the operation device 14. In this case, the processor 11 acquires a first acquisition instruction. Along with this, the processor 11 starts the first acquisition process.

  The second sample button 34 is an operation button for instructing execution of a second acquisition process (see S23 of FIG. 7). The second sample button 34 is associated with the second acquisition instruction. The second acquisition instruction is an execution instruction of the second acquisition process. The user taps the second sample button 34 after setting the portable information processing apparatus 10 and the second sample 60 in the state shown in the upper part of FIG. 4. It is assumed that the second sample button 34 is tapped and this tap is accepted by the controller device 14. In this case, the processor 11 acquires a second acquisition instruction. Along with this, the processor 11 starts the second acquisition process.

  The third sample button 35 is an operation button for instructing execution of the third acquisition process (see S29 in FIG. 7). The third sample button 35 is associated with the third acquisition instruction. The third acquisition instruction is an execution instruction of the third acquisition process. The user taps the third sample button 35 after setting the portable information processing apparatus 10 and the third sample 70 in the upper part of FIG. It is assumed that the third sample button 35 is tapped and this tap is accepted by the operation device 14. In this case, the processor 11 acquires a third acquisition instruction. Along with this, the processor 11 starts the third acquisition process.

  The calibration button 36 is an operation button for instructing execution of the first calculation process (see S35 of FIG. 8 and FIG. 15). The calibration button 36 is associated with the first calculation instruction. The first calculation instruction is an execution instruction of the first calculation process. The user taps the calibration button 36 after, for example, tapping the first sample button 33, the second sample button 34, and the third sample button 35, respectively. It is assumed that the calibration button 36 is tapped and this tap is accepted by the controller device 14. In this case, the processor 11 acquires a first calculation instruction. Along with this, the processor 11 starts the first calculation process.

  The measurement instruction frame 37 is an operation button for instructing execution of the fourth acquisition process (see S39 in FIG. 8). The measurement instruction frame 37 is associated with the fourth acquisition instruction. The fourth acquisition instruction is an execution instruction of the fourth acquisition process. The user taps an arbitrary position in the measurement instruction frame 37 after setting the portable information processing apparatus 10 and the measurement object 40 in the state shown in the upper part of FIG. It is assumed that an arbitrary position in the measurement instruction frame 37 is tapped, and the tap is accepted by the controller device 14. In this case, the processor 11 acquires a fourth acquisition instruction. Along with this, the processor 11 starts the fourth calculation process. In the embodiment, the operation button associated with the fourth acquisition instruction is referred to as a measurement instruction frame 37. However, the operation button associated with the fourth acquisition instruction may have a mode different from the frame format such as the measurement instruction frame 37. For example, a button format similar to the first sample button 33 or the like may be used. In this case, the operation button associated with the fourth acquisition instruction is appropriately disposed at a predetermined position in the operation screen 30. The measurement instruction frame 37 includes a message of "Please tap". However, the above-described message is an example, and may be described differently. The aforementioned messages may be omitted.

  The end button 38 is an operation button for instructing the end of the main processing. The end button 38 is associated with the end instruction. The end instruction is an end instruction of the main process. The user taps the end button 38 when, for example, the measurement of the measurement target object 40 ends the measurement of the number per unit length of the plurality of fourth filaments. It is assumed that the end button 38 is tapped and this tap is accepted by the controller device 14. In this case, the processor 11 obtains an end instruction. Along with this, the processor 11 ends the main processing. Further, the correction number D is displayed on the operation screen 30 (see “Line density: 47.28 lines / inch” in FIG. 9 described later). This point will be described later. In the embodiment, the number per unit length of the plurality of fourth filaments is also referred to as “linear density”.

<Main processing>
The main processing will be described with reference to FIGS. 7 and 8. The user inputs an instruction to start main processing to the portable information processing apparatus 10. The input start instruction of the main process is accepted by the operation device 14. The processor 11 acquires the start instruction of the main processing via the operation device 14. In response to the acquisition of the start instruction, the processor 11 activates the main processing program stored in the storage 12. Along with this, the main processing is started.

  The processor 11 having started the main process displays the operation screen 30 (S11). The processor 11 outputs a display command of the operation screen 30 to the display device 15. The display device 15 displays the operation screen 30 in accordance with the display command. Further, the processor 11 activates the imaging device 17 in accordance with the execution of S11 (S13). The processor 11 outputs a start command to the imaging device 17. The imaging device 17 is activated according to the activation command and starts imaging. The processor 11 acquires imaging data corresponding to a captured image captured by the imaging device 17. The processor 11 includes the captured image corresponding to the above-described captured data in the preview area 31 of the operation screen 30. For example, it is assumed that the portable information processing apparatus 10 and the first sample 50 are arranged in the state shown in FIG. In this case, the processor 11 includes the range of the first reference image 51 matching the imaging range A in the preview area 31. On the operation screen 30, the range of the first reference image 51 that matches the imaging range A is displayed in the preview area 31 (see FIG. 6). Regarding the order of S11 and S13, S11 may be performed after S13 is performed.

  Next, the processor 11 determines whether the first acquisition instruction has been acquired (S15). The user taps the first sample button 33. However, it is assumed that the first sample 50 is not set to the portable information processing apparatus 10 and the first reference image 51 is not displayed in the preview area 31. In this case, when the user taps the first sample button 33, the user places the first sample 50 in the state shown in the upper part of FIG. It is assumed that the tap of the first sample button 33 is accepted by the operation device 14. In this case, the processor 11 acquires a first acquisition instruction from the controller device 14.

  When the first acquisition instruction is not acquired (S15: No), the processor 11 shifts the processing to S21. When the first acquisition instruction is acquired (S15: Yes), the processor 11 executes a first acquisition process (S17). The first acquisition process is a process of acquiring first imaging data. The first imaging data is image data corresponding to the range of the first reference image 51 that matches the imaging range A. The processor 11 outputs an imaging command to the imaging device 17 in S17. The imaging device 17 captures an image of the imaging range A in accordance with an imaging command. That is, the imaging device 17 captures the range of the first reference image 51 that matches the imaging range A (see the upper stage in FIG. 3). The processor 11 generates first imaging data from the captured image of the range of the first reference image 51 that matches the imaging range A. Along with this, the processor 11 acquires the first imaging data. The processor 11 stores the first imaging data in the memory 13.

  Subsequently, the processor 11 executes a first measurement process (S19). In S19, the processor 11 sets the first imaging data as a processing target. The first measurement process is a process of measuring the number of a plurality of first filaments per unit length from the first imaging data. In the first measurement process, the processing algorithm disclosed in Patent Document 1 described above is employed. In the embodiment, the number per unit length of the plurality of first filaments measured by the first measurement process is referred to as “first measured value X1”. The first measurement process will be described later. After executing S19, the processor 11 returns the process to S15. After that, the processor 11 repeatedly executes the processing after S15.

  The processor 11 determines in S21 whether or not the second acquisition instruction has been acquired. The user arranges the second sample 60 in the state shown in the upper part of FIG. Along with this, on the operation screen 30, the range of the second reference image 61 matching the imaging range A is displayed in the preview area 31 (not shown). Thereafter, the user taps the second sample button 34. It is assumed that the tap of the second sample button 34 is accepted by the operating device 14. In this case, the processor 11 acquires the second acquisition instruction from the controller device 14.

  If the second acquisition instruction has not been acquired (S21: No), the processor 11 shifts the processing to S27. When the second acquisition instruction is acquired (S21: Yes), the processor 11 executes a second acquisition process (S23). The second acquisition process is a process of acquiring second imaging data. The second imaging data is image data corresponding to the range of the second reference image 61 that matches the imaging range A. In S23, the processor 11 outputs an imaging command to the imaging device 17. The imaging device 17 captures an image of the imaging range A in accordance with an imaging command. That is, the imaging device 17 captures the range of the second reference image 61 that matches the imaging range A (see the upper stage in FIG. 4). The processor 11 generates second imaging data from the captured image of the range of the second reference image 61 that matches the imaging range A. Along with this, the processor 11 acquires the second imaging data. The processor 11 stores the second imaging data in the memory 13.

  Subsequently, the processor 11 executes a second measurement process (S25). In S25, the processor 11 sets the second imaging data as a processing target. The second measurement process is a process of measuring the number of the plurality of second filaments per unit length from the second imaging data. In the second measurement process, the processing algorithm disclosed in Patent Document 1 described above is employed. In the embodiment, the number per unit length of the plurality of second filaments measured by the second measurement process is referred to as “second measured value X2”. The second measurement process will be described later. After executing S25, the processor 11 returns the process to S15. After that, the processor 11 repeatedly executes the processing after S15.

  In S27, the processor 11 determines whether a third acquisition instruction has been acquired. The user arranges the third sample 70 in the state shown in the upper part of FIG. Along with this, on the operation screen 30, the range of the third reference image 71 matching the imaging range A is displayed in the preview area 31 (not shown). Thereafter, the user taps the third sample button 35. It is assumed that the tap of the third sample button 35 is accepted by the operating device 14. In this case, the processor 11 acquires a third acquisition instruction from the controller device 14.

  If the third acquisition instruction is not acquired (S27: No), the processor 11 shifts the processing to S33 of FIG. When the third acquisition instruction is acquired (S27: Yes), the processor 11 executes the third acquisition process (S29). The third acquisition process is a process of acquiring third imaging data. The third imaging data is image data corresponding to the range of the third reference image 71 that matches the imaging range A. In S29, the processor 11 outputs an imaging command to the imaging device 17. The imaging device 17 captures an image of the imaging range A in accordance with an imaging command. That is, the imaging device 17 captures the range of the third reference image 71 that matches the imaging range A (see the upper stage in FIG. 5). The processor 11 generates third imaging data from the captured image of the range of the third reference image 71 that matches the imaging range A. Along with this, the processor 11 acquires third imaging data. The processor 11 stores the third imaging data in the memory 13.

  Subsequently, the processor 11 executes a third measurement process (S31). At S31, the processor 11 sets the third imaging data as a processing target. The third measurement process is a process of measuring the number per unit length of the plurality of third filaments from the third imaging data. In the third measurement process, the processing algorithm disclosed in Patent Document 1 described above is employed. In the embodiment, the number per unit length of the plurality of third filaments measured by the third measurement process is referred to as “third measured value X3”. The third measurement process will be described later. After executing S31, the processor 11 returns the process to S15. After that, the processor 11 repeatedly executes the processing after S15.

  The processor 11 determines in S33 of FIG. 8 whether or not the first calculation instruction has been acquired. The user taps the calibration button 36. It is assumed that the tap of the calibration button 36 is accepted by the operation device 14. In this case, the processor 11 obtains the first calculation instruction from the controller device 14.

  When the first calculation instruction has not been acquired (S33: No), the processor 11 shifts the processing to S37. When the first acquisition instruction is acquired (S33: Yes), the processor 11 executes a first calculation process (S35). In the first calculation process, polynomial coefficients are obtained by Gaussian elimination. In an embodiment, the order of the aforementioned polynomial is fourth order. The coefficients of the fourth-order polynomial described above are referred to as "correction coefficients" or "fourth-order correction coefficients". The first calculation process will be described later. After executing S35, the processor 11 returns the process to S15 of FIG. After that, the processor 11 repeatedly executes the processing after S15.

  In S37, the processor 11 determines whether a fourth acquisition instruction has been acquired. The user arranges the measurement object 40 in the state shown in the upper part of FIG. Along with this, on the operation screen 30, the range of the surface of the measurement object 40 that matches the imaging range A is displayed in the preview area 31 (not shown). Thereafter, the user taps an arbitrary position in the measurement instruction frame 37. It is assumed that the tap at an arbitrary position in the measurement instruction frame 37 is accepted by the operation device 14. In this case, the processor 11 acquires a fourth acquisition instruction from the controller device 14.

  If the fourth acquisition instruction is not acquired (S37: No), the processor 11 shifts the processing to S47. If the fourth acquisition instruction is acquired (S37: Yes), the processor 11 executes a fourth acquisition process (S39). The fourth acquisition process is a process of acquiring fourth imaging data. The fourth imaging data is image data corresponding to the range of the surface of the measurement target 40 that matches the imaging range A. In S39, the processor 11 outputs an imaging command to the imaging device 17. The imaging device 17 captures an image of the imaging range A in accordance with an imaging command. That is, the imaging device 17 images the range of the surface of the measurement target 40 that matches the imaging range A (see the upper stage in FIG. 2). The processor 11 generates fourth imaging data from the captured image of the range of the surface of the measurement target 40 that matches the imaging range A. Along with this, the processor 11 acquires fourth imaging data. The processor 11 stores the fourth imaging data in the memory 13.

  Subsequently, the processor 11 executes a fourth measurement process (S41). In S41, the processor 11 sets the fourth imaging data as a processing target. The fourth measurement process is a process of measuring the number per unit length of the plurality of fourth filaments from the fourth imaging data. In the fourth measurement process, the processing algorithm disclosed in Patent Document 1 described above is employed. In the embodiment, the number per unit length of the plurality of fourth filaments measured by the fourth measurement process is referred to as “fourth actual measurement value X4”. The fourth measurement process will be described later.

Next, the processor 11 executes a second calculation process (S43). The second calculation process is a process of acquiring a correction number D in which the fourth actual measurement value X4 is corrected by the correction factor R. The correction factor R is calculated by the following equation (1). The correction number D is calculated by the following equation (2). In S43, the processor 11 acquires the fourth actual measurement value X4 and the correction coefficient from the memory 13, and calculates the correction factor R by equation (1). The fourth actual measurement value X4 is stored in the memory 13 in S83 of FIG. 13 described later. The correction coefficient is stored in the memory 13 in S125 of FIG. 15 described later. Furthermore, the processor 11 calculates the number of corrections D by equation (2). Along with this, the processor 11 acquires the correction number D.
R = Coeff 4 x X ^{4 4} + Coeff ³ x X 4 ³ + Coeff ² x X 4 ² + Coeff 1 x X 4 + Coeff 0 (1)
D = (R + 1) × X4 (2)
When S35 has not been executed, the number D of corrections becomes the same value as the fourth actual measurement value X4 in S43. The correction factor R or the correction coefficient stored in the memory 13 in S125 of FIG. 15 described later may be registered in the program of the main processing, for example. If S35 is not executed and the correction coefficient is not stored in the memory 13 after the main processing currently being executed is started, the processor 11 uses the registered correction factor R or the correction coefficient in S43. The initial value of the correction factor R registered in the main processing program is set to 0. When the correction factor R is calculated by Equation (2), the processor 11 updates the correction factor R registered in the program of the main processing to the newly calculated correction factor R.

  Subsequently, the processor 11 executes an output process (S45). The output process is a process of outputting the correction number D to the display device 15. The processor 11 outputs the display command of the correction number D to the display device 15. The display unit 15 displays the correction number D in accordance with the display command. That is, in the display device 15, the operation screen 30 including the correction number D as the linear density is displayed (see FIG. 9). FIG. 9 is a diagram for explanation. Therefore, in FIG. 9, the correspondence between the number per unit length of the plurality of filaments (fourth filaments) along the setting direction actually illustrated and the correction number D “linear density: 47.28 lines / inch” Relationships are not considered.

  In S47, the processor 11 determines whether an end instruction has been acquired. If the end instruction has not been acquired (S47: No), the processor 11 returns the process to S15 of FIG. After that, the processor 11 repeatedly executes the processing after S15. When the end instruction is acquired (S47: Yes), the processor 11 ends the main processing.

  Although the description has been omitted in the above, the user may tap the AF button 32 at a predetermined timing at which the main processing is being performed. For example, the user taps the AF button 32 before tapping any one of the first sample button 33, the second sample button 34, and the third sample button 35 or an arbitrary position in the measurement instruction frame 37. Do. In this case, the controller device 14 receives the tap of the AF button 32. The processor 11 acquires an AF instruction from the controller device 14. Thereafter, the processor 11 outputs an AF command to the imaging device 17. The imaging device 17 is any of the first sample 50, the second sample 60, the third sample 70, and the measurement object 40, which is disposed with respect to the portable information processing device 10 at the timing according to the AF command. Focus on the surface of the body.

  In the portable information processing apparatus 10, S17, S19, S23, S25, S29, and S31 of FIG. 7 and S35 of FIG. 8 may have already been executed after the second start of the main processing. In such a case, the user may omit tapping on each of the first sample button 33, the second sample button 34, the third sample button 35, and the calibration button 36. The user arranges the measurement target object 40 in the state shown in the upper part of FIG. 2 with respect to the portable information processing apparatus 10 without tapping each of the above-described buttons. Thereafter, the user taps an arbitrary position in the measurement instruction frame 37. In the main process, the processor 11 negates any of the determinations of S15, S21, S27 and S33 (see S15, S21, S27, S33: No in FIG. 7). The processor 11 affirms S37 (see S37: Yes in FIG. 8), and executes the processing of S39 and thereafter.

<First measurement processing>
The first measurement process executed in S19 of FIG. 7 will be described with reference to FIG. The processor 11 that has started the first measurement process executes the measurement process (S51). The first actual measurement value X1 measured in the first measurement process above is measured by the measurement process executed in S51. The measurement process will be described later. After executing S51, the processor 11 stores the first actual measurement value X1 measured in the actual measurement process in the memory 13 (S53). After that, the processor 11 ends the first measurement process.

<Second measurement process>
The second measurement process executed in S25 of FIG. 7 will be described with reference to FIG. The processor 11 that has started the second measurement process executes a measurement process (S61). The second actual measurement value X2 that has been measured in the second measurement process above is measured by the actual measurement process performed in S61. The measurement process will be described later. After executing S61, the processor 11 stores the second actual measurement value X2 measured in the actual measurement process in the memory 13 (S63). After that, the processor 11 ends the second measurement process.

<Third measurement process>
The third measurement process executed in S31 of FIG. 7 will be described with reference to FIG. The processor 11 that has started the third measurement process executes the measurement process (S71). The third actual measurement value X3 measured in the third measurement process above is measured by the actual measurement process executed in S71. The measurement process will be described later. After executing S71, the processor 11 stores the third actual measurement value X3 measured in the actual measurement process in the memory 13 (S73). After that, the processor 11 ends the third measurement process.

<Fourth measurement process>
The fourth measurement process executed in S41 of FIG. 8 will be described with reference to FIG. The processor 11 that has started the fourth measurement process executes an actual measurement process (S81). The fourth actual measurement value X4 measured in the fourth measurement process above is measured by the measurement process executed in S81. The measurement process will be described later. After executing S81, the processor 11 stores the fourth actual measurement value X4 measured in the actual measurement process in the memory 13 (S83). After that, the processor 11 ends the fourth measurement process.

<Measurement process>
The measurement process performed in S51 of FIG. 10, S61 of FIG. 11, S71 of FIG. 12, and S81 of FIG. 13 will be described with reference to FIG. In the embodiment, when the first imaging data, the second imaging data, the third imaging data, and the fourth imaging data are not distinguished from one another or when they are collectively referred to, they are simply referred to as “imaging data”. When the first, second, third, and fourth filaments are not distinguished, or when they are collectively referred to, they are simply referred to as “filaments”.

  Therefore, when the measurement process is executed in S51 of FIG. 10, in the description of the measurement process, the imaging data indicates the first imaging data. In this case, the filaments actually measured in the measurement process are the first filaments, and the number of the filaments (measured value) is the first actually measured value X1. When the measurement process is executed in S61 of FIG. 11, in the description of the measurement process, the imaging data indicates the second imaging data. In this case, the filaments actually measured in the measurement process are the second filaments, and the number of the filaments (measured value) is the second actually measured value X2. In the case where the measurement process is executed in S71 of FIG. 12, the imaging data indicates third imaging data in the description of the measurement process. In this case, the filaments actually measured in the measurement process are the third filaments, and the number of the filaments (measured value) is the third actually measured value X3. When the measurement process is performed in S81 of FIG. 13, in the description of the measurement process, the imaging data indicates the fourth imaging data. In this case, the filaments actually measured in the measurement process are the fourth filaments, and the number of the filaments (measured value) is the fourth actually measured value X4. When the measurement object 40 is a woven fabric (see FIGS. 2 and 9), the above-mentioned streaks (fourth streaks) are any of the warp yarns 41 and the weft yarns 42. When the warp direction is the setting direction, the above-mentioned filament (fourth filament) is the warp 41. When the weft direction is the set direction, the above-mentioned line (fourth line) is the weft 42.

  The processor 11 having started the measurement process sequentially executes each process of S91 to S99. That is, in S91, the processor 11 executes gray scale processing. In S93, the processor 11 executes a two-dimensional FFT (Fast Fourier Transform) process on the imaging data processed in S91 as a processing target. In S95, the processor 11 performs power spectrum conversion processing on the imaging data processed in S93 as a processing target. In S97, the processor 11 executes quadrant replacement processing with the imaging data processed in S95 as a processing target. In S99, the processor 11 executes a normalization process on the imaging data processed in S97 as a processing target.

  After executing S99, the processor 11 measures the number of filaments (actually measured value) (S101). The processor 11 executes threshold processing in S101. In this threshold processing, the threshold is set to the top 25. That is, in the Fourier spectrum, the frequency coordinates of the top 25 levels are left, while the frequency coordinates of the 26 th and subsequent levels are 0. The above-mentioned “upper 25 ranks” set as the threshold is empirically determined.

  After performing the thresholding, the processor 11 transforms the thresholded Fourier spectrum into polar coordinates represented by a declination and a radius centered on the origin. Here, the radius corresponds to the spatial frequency. Subsequently, the processor 11 calculates the level sum of the Fourier spectrum. Several sharp peaks appear in the level sum distribution. Preferably, each peak of the Fourier spectrum is formed by one data point. However, in practice, each peak of the Fourier spectrum is formed at a number of points. Therefore, each peak of the Fourier spectrum has a minute width. A collection (convex shaped portion) of data points forming each peak of the Fourier spectrum is called a cluster.

  After that, the processor 11 calculates, for each cluster, the sum of the level sums in the declination range forming the cluster. The sum of level sums corresponds to the area of the cluster to be processed. Subsequently, the processor 11 rearranges the sum of level sums in descending order. Furthermore, the processor 11 calculates, for example, an average value (median value) of argument angles in each cluster. It is possible to make the setting direction correspond to the average value of the argument angles in the top one cluster in the sum of the level sums.

  Next, the processor 11 calculates the number of filaments. The processor 11 calculates the distribution of the level sum of the Fourier spectrum with respect to the spatial frequency in the next direction. The aforementioned direction is the direction of the angle of the filament. Here, in the above-mentioned event that the level sum increases at one spatial frequency, the repetition of regular shading corresponding to the spatial frequency is frequently performed on the image corresponding to the imaging data to be processed. Suggest that. Furthermore, the processor 11 calculates the average value of the spatial frequency in each cluster.

  The image corresponding to the imaging data to be processed is a 0 or 1 impulse signal corresponding to the presence or absence of the line. Therefore, when the impulse signal is subjected to two-dimensional FFT processing, a peak of the acquired Fourier spectrum is observed at a doubled frequency. Therefore, there are many peaks at the same angle. The processor 11 obtains the average value of the minimum spatial frequency among clusters at the same angle as the number of filaments (N '). In the embodiment, the width W of the imaging range A is a unit length (1 inch). Therefore, the processor 11 obtains the above-mentioned number (N ') as the number per unit length (actual value, N number / inch). It is assumed that the width W of the imaging range A is set to a dimension (unit: inch) different from the unit length (1 inch). In this case, the processor 11 obtains the number per unit length (actual value, N number / inch) by the product of the number (N ') and the value obtained by dividing the unit length by the width W. For example, it is assumed that the width W of the imaging range A is set to 2 inches. In this case, the processor 11 acquires the number (N / inch) by “N ′ × 1⁄2”.

  That is, in step S101, the processor 11 measures the number of filaments (actually measured value: N / inch) by each process described above. After executing S101, the processor 11 ends the measurement process. The measurement process is a process based on known techniques. That is, the gray scale processing performed in S91 is an image processing technology that has already been put to practical use. In S91, a known technique for converting color image data into grayscale image data is employed. In each process of S93 to S99, a predetermined function in a known program is appropriately used. The processing executed in S101 is executed according to the technique relating to the above-described procedures (4) and (5) of Patent Document 1, as is apparent from the above description of S101. In the above description of S101, the related description of Patent Document 1 is partially omitted or simplified. For example, in the above description of S101, the mathematical expression described in Patent Document 1 is omitted. However, in S101, various values are calculated using a formula according to the formula described in Patent Document 1. Therefore, the other explanation regarding the measurement processing is omitted.

<First calculation processing>
The first calculation process executed in S35 of FIG. 8 will be described with reference to FIG. The processor 11 that has started the first calculation process acquires the first actual measurement value X1 from the memory 13 (S111). The first actual measurement value X1 is stored in the memory 13 in S53 of FIG. Subsequently, the processor 11 obtains a first correction value Y1 (S113). The first correction value Y1 is calculated by the following equation (3). The value “50 lines / inch” in the equation (3) corresponds to 50 lines / inch of the first reference value. The processor 11 acquires the calculated value as the first correction value Y1. The processor 11 stores the first correction value Y1 in the memory 13.
Y1 = (50-X1) / X1 (3)
After executing S113, the processor 11 acquires the second actual measurement value X2 from the memory 13 (S115). The second actual measurement value X2 is stored in the memory 13 in S63 of FIG. Subsequently, the processor 11 obtains a second correction value Y2 (S117). The second correction value Y2 is calculated by the following equation (4). The value "100 pcs / inch" in the equation (4) corresponds to 100 pcs / inch as the second reference value. The processor 11 obtains the calculated value as a second correction value Y2. The processor 11 stores the second correction value Y2 in the memory 13.
Y2 = (100-X2) / X2 (4)
After executing S117, the processor 11 acquires the third actual measurement value X3 from the memory 13 (S119). The third actual measurement value X3 is stored in the memory 13 in S73 of FIG. Subsequently, the processor 11 obtains a third correction value Y3 (S121). The third correction value Y3 is calculated by the following equation (5). The value "200 pcs / inch" in the equation (5) corresponds to 200 pcs / inch as the third reference value. The processor 11 acquires the calculated value as a third correction value Y3. The processor 11 stores the third correction value Y3 in the memory 13.
Y3 = (200-X3) / X3 (5)
Next, the processor 11 calculates a correction coefficient (S123). As described above, Gaussian elimination is used to calculate the correction coefficient. In the Gaussian elimination method, the first actual measurement value X1, the second actual measurement value X2, and the third actual measurement value X3 are used as the input values of the matrix X, and the first correction value Y1 and the second correction are used as the input values of the matrix Y The value Y2 and the third correction value Y3 are used. Here, in S123, a predetermined function in a known program is appropriately used. In the embodiment, a fourth-order array is calculated as a correction coefficient by Gaussian elimination. That is, in S123, a fourth-order correction coefficient is calculated.

  Subsequently, the processor 11 stores the correction coefficient “Coeff [5] = xx [5]” calculated in S123 in the memory 13 (S125). Coeff [5] includes [Coeff0, Coeff1, Coeff2, Coeff3, Coeff4] (0th order, 1st order, 2nd order, 3rd order, 4th order) as correction coefficients. The matrix xx [5] is a value corresponding to [Coeff0, Coeff1, Coeff2, Coeff3, Coeff4], [xx0, xx1, xx2, xx3, xx4] (0th order, 1st order, 2nd order, 3rd order, 4th order Store). After executing S125, the processor 11 ends the first calculation process.

<Example>
The inventor conducted an experiment to confirm the effectiveness of S15 of FIG. 7 to S35 of FIG. 7 to be executed in the main process. Then, the experimental result obtained by this experiment is demonstrated.

<Portable Information Processing Device>
As the portable information processing apparatus 10, a smartphone (Model: Y6) manufactured by Huawei Japan was used.

<Measurement object>
The measurement object 40 was used as the second sample 60 and the third sample 70. As described above, the second sample 60 includes the second reference image 61 in which the number of second filaments is set to 100 / inch, and the third sample 70 has the number of third filaments of 200 / inch. The set third reference image 71 is included. When the measurement object 40 is the second sample 60, the above-mentioned second filament is also the fourth filament. When the measurement object 40 is the third sample 70, the above-mentioned third line is also the fourth line.

<Evaluation target and evaluation method>
The following two patterns were set as evaluation targets. The first pattern is a processing pattern in which S39 to S45 in FIG. 8 are performed after S15 to S35 in FIG. 7 are performed. In the first pattern, the user taps an arbitrary position in the measurement instruction frame 37 at the timing when S35 ends. In the first pattern, the fourth actual measurement value X4 is corrected with the correction factor R based on the correction coefficient stored in the memory 13 in S125 of FIG. 15 in S43 of FIG. In the first pattern, the correction number D corrected by the above-described correction factor R is acquired. When the measurement object 40 is the second sample 60, the aforementioned fourth actual value X4 corresponds to the second actual value X2, and when the measurement object 40 is the third sample 70, the aforementioned fourth actual value X4 corresponds to the third actual measurement value X3.

  In the second pattern, after S11 and S13 of FIG. 7 are executed, all of S15, S21, S27 of FIG. 7 and S33 of FIG. 8 are negated (see S15, S21, S27, S33: No of FIG. 7). It is a processing pattern which performs S39-S45 of FIG. In the second pattern, the user taps an arbitrary position in the measurement instruction frame 37 at the timing when S13 ends. In the second pattern, the initial value 0 is used as the correction factor R in S43 of FIG. In the second pattern, the same correction number D as the fourth actual measurement value X4 is acquired. In the second pattern, it can be said that the correction number D is substantially an uncorrected number. In the embodiment, regardless of the value of the correction factor R, the number per unit length obtained in S43 of FIG. As in the case of the first pattern, when the measurement target 40 is the second sample 60, the fourth actual measurement value X4 described above corresponds to the second actual measurement value X2, and the measurement target 40 is the third sample 70. In the case, the fourth actual measurement value X4 described above corresponds to the third actual measurement value X3.

  The user selects any one of the first sample button 33, the second sample button 34, and the third sample button 35 or any position within the measurement instruction frame 37 for any of the first pattern and the second pattern. I tapped the AF button 32 before tapping. That is, the imaging by the imaging device 17 was performed in a focused state. In the first pattern and the second pattern, 20 measurements were performed on the same measurement target 40.

<Experimental result>
Table 1 shows the results of an experiment in which the measurement target 40 is the second sample 60. In the first pattern, the average value of the correction number D is 99.8245 pieces / inch, and the difference (absolute value) with 100 pieces / inch of the second reference image 61 is 0.1755 pieces / inch. On the other hand, in the second pattern, the average value of the correction number D is 103.493 per inch, and the difference (absolute value) with 100 per inch of the second reference image 61 is 3.493 per inch. became.

Table 2 shows the result of the experiment in which the measurement object 40 is the third sample 70. In the first pattern, the average value of the correction number D is 199.2585 / inch, and the difference (absolute value) with 200 / inch of the third reference image 71 is 0.7415 / inch. On the other hand, in the second pattern, the average value of the correction number D is 209.486 lines / inch, and the difference (absolute value) with 200 lines / inch of the third reference image 71 is 9.486 lines / inch. became.

  According to the first pattern, the difference (absolute value) with 100 lines / inch of the second reference image 61 and the difference (absolute value) with 200 lines / inch of the third reference image 71 are both obtained from the second pattern It was possible to make it smaller. Thereby, the effectiveness of S35 of S15 of FIG. 7-FIG. 8 was confirmed.

  The inventor conducted a preliminary experiment using a treatment pattern according to the second pattern, separately from the above experiment. The measurement object 40 had four types in which the number of the fourth filaments was set to 50 / inch, 100/150, 150/200, and 200 / inch. As a result, with the measurement object 40 set to 50 lines / inch, the correction number D was 55 lines / inch (correction value: −0.00909091). In the case of the measurement object 40 set to 100 pcs / inch, the correction number D was 103 pcs / inch (correction value: −0.029126214). For the measurement object 40 set to 150 pieces / inch, the correction number D was 154 pieces / inch (correction value: −0.025974026). In the measurement object 40 set to 200 pieces / inch, the correction number D was 212 pieces / inch (correction value: −0.056603774). Thereby, it was confirmed that measurement accuracy falls about measurement of the number of a plurality of the 4th filaments per unit length by unexecution of S35 of Drawing 15 of Drawing 7-Drawing 8. Each correction value described above is calculated according to the equations (3), (4) and (5) above.

<Effect of the embodiment>
According to the embodiment, the following effects can be obtained.

  (1) In the portable information processing apparatus 10, the processor 11 executes main processing (see FIGS. 7 and 8). In the main process, the processor 11 executes a first acquisition process and a first measurement process, a second acquisition process and a second measurement process, a third acquisition process and a third measurement process, and executes a first calculation process. (See S17, S19, S23, S25, S29, S31 of FIG. 7 and S35 of FIG. 8).

  In the first acquisition process, the imaging device 17 images the range of the first reference image 51 that matches the imaging range A (see the upper stage in FIG. 3). Along with this, the processor 11 acquires the first imaging data. In the first measurement process, the processor 11 measures the first actual measurement value X1 (see S101 in FIG. 14) in the actual measurement process (see S51 in FIG. 10) and stores the first actual measurement value X1 in the memory 13 (FIG. 10). See S53). In the second acquisition process, the imaging device 17 images the range of the second reference image 61 that matches the imaging range A (see the upper stage in FIG. 4). Along with this, the processor 11 acquires the second imaging data. In the second measurement process, the processor 11 measures the second actual measurement value X2 (see S101 in FIG. 14) in the actual measurement process (see S61 in FIG. 11), and stores the second actual measurement value X2 in the memory 13 (FIG. 11). See S63). In the third acquisition process, the imaging device 17 images the range of the third reference image 71 that matches the imaging range A (see the upper stage in FIG. 5). Along with this, the processor 11 acquires third imaging data. In the third measurement process, the processor 11 measures the third actual measurement value X3 (see S101 in FIG. 14) in the actual measurement process (see S71 in FIG. 12) and stores the third actual measurement value X3 in the memory 13 (FIG. 12) See S73). In the first calculation process, the processor 11 calculates a correction coefficient, and stores the calculated correction coefficient in the memory 13 (see S123 and S125 in FIG. 15).

  In the main process, the processor 11 executes a fourth acquisition process and a fourth measurement process, and executes a second calculation process and an output process (see S39 to S45 in FIG. 8). In the fourth acquisition process, the imaging device 17 images the range of the surface of the measurement target 40 that matches the imaging range A (see the upper stage in FIG. 2). Along with this, the processor 11 acquires fourth imaging data. In the fourth measurement process, the processor 11 measures the second actual measurement value X2 in the actual measurement process (see S81 in FIG. 13) (see S101 in FIG. 14) and stores the fourth actual measurement value X4 in the memory 13 (FIG. 13). See S83). In the second calculation process, the processor 11 calculates the correction number D from the correction coefficient R and the correction factor R calculated from the fourth actual measurement value X4 and the fourth actual measurement value X4. In the output process, the processor 11 outputs the correction number D to the display device 15.

  Therefore, the number of the plurality of fourth streaks can be corrected by the correction coefficients calculated by the first reference image 51, the second reference image 61, and the third reference image 71. The correction number D can be displayed on the display device 15 (see FIG. 9).

  (2) In the first calculation process, the processor 11 sequentially acquires the first correction value Y1, the second correction value Y2, and the third correction value Y3 to calculate correction coefficients (S113, S117, and FIG. 15). See S121 and S123). In the first calculation process, Gaussian elimination is employed to calculate the correction coefficient in S123 of FIG. Therefore, it is possible to calculate the correction coefficient that contributes to the improvement of the measurement accuracy of the number of the plurality of fourth filaments. The accurate correction number D can be displayed on the operation screen 30.

  (3) The portable information processing device 10 includes the processor 11, the storage 12, the memory 13, the operation device 14, the display device 15, and the imaging device 17 (see FIG. 1). The portable information processing apparatus 10 is an integrated apparatus incorporating the above-described units. Therefore, measurement of the number of the plurality of fourth filaments can be performed easily and smoothly by one portable information processing apparatus 10.

<Modification>
Embodiments can also be as follows. Several configurations of the modifications shown below can be combined appropriately and adopted. Hereinafter, points different from the above will be described, and the description of the same points will be appropriately omitted.

  (1) The portable information processing device 10 is an integrated device incorporating the operation device 14, the display device 15, and the imaging device 17 together with the processor 11, the storage 12, and the memory 13 (see FIG. 1). In the portable information processing device, the imaging device 17 may be omitted. In this case, the imaging device is connected to the portable information processing device. The captured image captured by the imaging device is transmitted from the imaging device to the portable information processing device. In addition to this, a display device different from the display device 15 may be connected to the portable information processing device. In this case, the operation screen 30 may be displayed on this different display device. Furthermore, an operating device different from the operating device 14 may be connected to the portable information processing device. In this case, for example, one or both of a keyboard and a mouse can be adopted as the different operating device. The user performs the same input operation as the above-described tap operation via the operation device as described above. The imaging device and the display device are connected by wire to the portable information processing device. However, some or all of the operation device, the display device, and the imaging device may be wirelessly connected to the portable information processing device.

  (2) The first sample 50, the second sample 60, and the third sample 70 are illustrated as the standard samples, and the main processing is made to correspond to the first reference image 51, the second reference image 61, and the third reference image 71 It was in the form (see FIGS. 7 and 8). In this case, the operation screen 30 includes a first sample button 33, a second sample button 34, and a third sample button 35 (see FIGS. 6 and 9). The main processing includes S15 to S19, S21 to S25, and S27 to S31 (see FIG. 7). The first calculation process executed in S35 of FIG. 8 includes S111 and S113, S115 and S117, and S119 and S121 (see FIG. 15). In S123 of FIG. 15, the first actual measurement value X1, the second actual measurement value X2, and the third actual measurement value X3 are used as the input values of the matrix X, and the first correction value Y1, the second correction value Y2 and the third correction value Y3 are used. Gaussian elimination with input values of matrix Y is performed.

  A sample different from the first sample 50, the second sample 60 and the third sample 70 may be adopted as a standard sample. For example, four or more types of samples may be used as standard samples. In this case, a reference image of the following form is formed on each sample. The above-described aspect is a state in which the numbers per unit length are set to different reference values, and include parallel streaks along the setting direction. In the main process, a series of processes similar to S15 to S19, S21 to S25, and S27 to S31 are repeated by the number of standard samples. In the first calculation process, a series of processes similar to S111 and S113, S115, S117, S119, and S121 are repeated by the number of standard samples. In the Gaussian elimination method, for both the matrix X and the matrix Y, the actual measurement values and the correction values of the number corresponding to the number of standard samples are used as input values.

  A case where a fourth sample is adopted in addition to the above three types of samples will be described as an example. The fourth sample includes a fourth reference image. The fourth reference image includes a plurality of fifth streaks in which the number per unit length is set to a fourth reference value and which is parallel to the setting direction. The operation screen includes a fourth sample button. The fourth sample button is associated with the fifth acquisition instruction. In this description, the illustration of the operation screen including the fourth sample including the fourth reference image and the fourth sample button is omitted. Image data corresponding to the range of the fourth reference image that matches the imaging range A is referred to as “fifth imaging data”.

  The main processing includes processing for determining whether or not the fifth acquisition instruction has been acquired, fifth acquisition processing, and fifth measurement processing. The fifth acquisition process is a process corresponding to the first acquisition process (see S17 of FIG. 7) and the like. The fifth measurement process is a process corresponding to the first measurement process (see S19 in FIG. 7 and FIG. 10) and the like. The processor 11 executes the fifth acquisition process in the same manner as the first acquisition process and the like, and executes the fifth measurement process in the same manner as the first measurement process and the like. In the main process, for example, when S27 is denied (S27 in FIG. 7: refer to No), the processor 11 determines whether or not the fifth acquisition instruction has been acquired. If the fifth acquisition instruction has not been acquired, the processor 11 shifts the processing to S33 of FIG. When the fifth acquisition instruction is acquired, the processor 11 sequentially executes the fifth acquisition process and the fifth measurement process. In the fifth acquisition process, the imaging device 17 captures a range of the fourth reference image that matches the imaging range A. Along with this, the processor 11 acquires fifth imaging data. In the fifth measurement process, the processor 11 executes the measurement process (see FIG. 15) with the fifth imaging data as a processing target, and stores the fifth actual value X5 in the memory 13. The fifth actual measurement value X5 is the number (actual measurement value) per unit length of the plurality of fifth filaments measured by the actual measurement process. After executing the fifth measurement process, the processor 11 returns the process to S15 of FIG. 7.

The first calculation process includes a process of acquiring a fifth actual measurement value X5 and a process of acquiring a fourth correction value Y4. The process of acquiring the fifth actual measurement value X5 is a process corresponding to S111, S115, and S119 of FIG. 15, and the processor 11 executes this process as in S111 and the like. The process of acquiring the fourth correction value Y4 is a process corresponding to S113, S117, and S121 of FIG. 15, and the processor 11 executes this process as in S113 and the like. The fourth correction value Y4 is a value obtained by dividing the fourth difference value obtained by subtracting the fifth actual measurement value X5 from the fourth reference value by the fifth actual measurement value X5. In S123 of FIG. 15, the first actual measurement value X1, the second actual measurement value X2, the third actual measurement value X3 and the fifth actual measurement value X5 are used as the input values of the matrix X, and the first correction value Y1 and the second correction value Y2, Gaussian elimination is performed using the third correction value Y3 and the fourth correction value Y4 as input values of the matrix Y. That is, the processor 11 calculates the fifth order correction coefficient. In S43 of FIG. 8, the processor 11 uses this correction coefficient to execute the second calculation process. In this case, the above equation (1) becomes the following equation (6).
R = Coeff ⁵ x X 4 ⁵ + Coeff 4 x X ^{4 4} + Coeff ³ x X 4 ³ + Coeff ² x X 4 ² + Coeff 1 x X 4 + Coeff 0 (6)
(3) In the first reference image 51, the first reference value is 50 lines / inch (see FIG. 3). In the second reference image 61, the second reference value is 100 lines / inch (see FIG. 4). The third reference image 71 has a third reference value of 200 lines / inch (see FIG. 5). In the first reference image 51, the first reference value may be a value different from 50 lines / inch. In the second reference image 61, the second reference value may be a value different from 100 per inch. In the third reference image 71, the third reference value may be a value different from 200 lines / inch. However, the first reference value, the second reference value, and the third reference value have a relationship of “first reference value <second reference value <third reference value”.

DESCRIPTION OF SYMBOLS 10 Portable information processing device, 11 processor, 12 storage 13 memory, 14 operation device, 15 display device, 16 touch panel 17 imaging device, 30 operation screen, 31 preview area, 32 AF button 33 1st sample button, 34 2nd sample Button 35 third sample button, 36 calibration button 37 measurement instruction frame, 38 end button, 40 measurement object, 41 warp yarn 42 weft, 50 first sample, 51 first reference image, 60 second sample 61 second reference image , 70 third sample, 71 third reference image, A imaging range D number of corrections, L distance, W width

Claims (5)

Equipped with a processor,
The processor is
First imaging data corresponding to a first reference image captured by the imaging device and including a plurality of parallel parallel first streaks along the set direction in which the number per unit length is set to the first reference value The first acquisition process to
A first measurement process of measuring a first actual measurement value which is an actual measurement value of the number per unit length of the first filament with the first imaging data as a processing target;
A second reference including a plurality of parallel second stripes parallel to the setting direction which are imaged by the imaging device and whose number per unit length is set to a second reference value larger than the first reference value A second acquisition process of acquiring second imaging data corresponding to the image;
A second measurement process for measuring a second actual measurement value which is an actual measurement value of the number per unit length of the second filament with the second imaging data as a processing target;
A third reference image including a plurality of parallel parallel third streaks taken by the imaging device and having the number per unit length set to a third reference value greater than the second reference value Third acquisition processing for acquiring third imaging data corresponding to
A third measurement process of measuring a third actual measurement value which is an actual measurement value of the number per unit length of the third filament with the third imaging data as a processing target;
A first correction value according to a first difference value which is a difference between the first reference value and the first actual measurement value, and a second difference value which is a difference between the second reference value and the second actual measurement value A first calculation process for calculating a correction coefficient according to a second correction value according to a third correction value according to a third difference value which is a difference between the third reference value and the third actual measurement value;
A fourth acquisition process of acquiring fourth imaging data corresponding to a measurement object including a plurality of parallel fourth streaks taken by the imaging device and parallel to the setting direction;
A fourth measurement process of measuring a fourth actual measurement value which is an actual measurement value of the number per unit length of the fourth filament with the fourth imaging data as a processing target;
A second calculation process of calculating the number of corrections obtained by correcting the fourth measured value by the correction coefficient;
A portable information processing apparatus, which executes output processing for outputting the number of corrections to a display device for displaying the number of corrections. The first calculation process is
A process of calculating the first correction value by dividing the first difference value by the first actual measurement value;
A process of calculating the second correction value by dividing the second difference value by the second actual measurement value;
The portable information processing apparatus according to claim 1, further comprising: a process of dividing the third difference value by the third actual value to calculate the third correction value.   The first calculation process uses the first actual measurement value, the second actual measurement value, and the third actual measurement value, and the first correction value, the second correction value, and the third correction value as input values. The portable information processing apparatus according to claim 2, wherein the correction coefficient is calculated by performing Gaussian elimination.   The portable information processing device according to any one of claims 1 to 3, wherein the portable information processing device is an integrated device including the processor, the imaging device, and the display device. apparatus. A processor for controlling the portable information processing apparatus;
First imaging data corresponding to a first reference image captured by the imaging device and including a plurality of parallel parallel first streaks along the set direction in which the number per unit length is set to the first reference value The first acquisition process to
A first measurement process of measuring a first actual measurement value which is an actual measurement value of the number per unit length of the first filament with the first imaging data as a processing target;
A second reference including a plurality of parallel second stripes parallel to the setting direction which are imaged by the imaging device and whose number per unit length is set to a second reference value larger than the first reference value A second acquisition process of acquiring second imaging data corresponding to the image;
A second measurement process for measuring a second actual measurement value which is an actual measurement value of the number per unit length of the second filament with the second imaging data as a processing target;
A third reference image including a plurality of parallel parallel third streaks taken by the imaging device and having the number per unit length set to a third reference value greater than the second reference value Third acquisition processing for acquiring third imaging data corresponding to
A third measurement process of measuring a third actual measurement value which is an actual measurement value of the number per unit length of the third filament with the third imaging data as a processing target;
A first correction value according to a first difference value which is a difference between the first reference value and the first actual measurement value, and a second difference value which is a difference between the second reference value and the second actual measurement value A first calculation process for calculating a correction coefficient according to a second correction value according to a third correction value according to a third difference value which is a difference between the third reference value and the third actual measurement value;
A fourth acquisition process of acquiring fourth imaging data corresponding to a measurement object including a plurality of parallel fourth streaks taken by the imaging device and parallel to the setting direction;
A fourth measurement process of measuring a fourth actual measurement value which is an actual measurement value of the number per unit length of the fourth filament with the fourth imaging data as a processing target;
A second calculation process of calculating the number of corrections obtained by correcting the fourth measured value by the correction coefficient;
A program for executing an output process of outputting the number of corrections on a display device for displaying the number of corrections.

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