Classifications

• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/90—Determination of colour characteristics
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
  • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
  • G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
  • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
  • G01J3/28—Investigating the spectrum
  • G01J3/2803—Investigating the spectrum using photoelectric array detector
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
  • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
  • G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
  • G01J3/52—Measurement of colour; Colour measuring devices, e.g. colorimeters using colour charts
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
  • G01K17/00—Measuring quantity of heat
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
  • G01L1/00—Measuring force or stress, in general
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
  • G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T5/00—Image enhancement or restoration
  • G06T5/80—Geometric correction
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T7/00—Image analysis
  • G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
  • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
  • H04N1/46—Colour picture communication systems
  • H04N1/56—Processing of colour picture signals
  • H04N1/60—Colour correction or control
  • H04N1/603—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer
  • H04N1/6033—Colour correction or control controlled by characteristics of the picture signal generator or the picture reproducer using test pattern analysis
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
  • G01J1/00—Photometry, e.g. photographic exposure meter
  • G01J1/48—Photometry, e.g. photographic exposure meter using chemical effects
  • G01J1/50—Photometry, e.g. photographic exposure meter using chemical effects using change in colour of an indicator, e.g. actinometer
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
  • G06T2207/00—Indexing scheme for image analysis or image enhancement
  • G06T2207/10—Image acquisition modality
  • G06T2207/10024—Color image

Definitions

• a coloring member that develops color depending on energy such as applied pressure, heat, and ultraviolet rays.
• a coloring member there is, for example, Prescale (registered trademark) (manufactured by Fuji Film Co., Ltd.), which can obtain a coloring density depending on the applied pressure.
• pressure measurement is performed based on an image representing a colored member included in a photographed image obtained by placing a pressure measurement sheet (for example, prescale) on a calibration sheet.
• a pressure measurement sheet for example, prescale
• the calibration member according to the first aspect of the present disclosure is used to calibrate an image of a coloring member in a photographed image obtained by photographing a coloring member that develops color with a density distribution according to the amount of applied energy using a photographing device.
• a support body comprising a first region on which a coloring member is placed, a second region on which a calibration image for calibrating an image of the coloring member is arranged;
• a transparent member is provided, which covers the coloring member placed in one area and has a surface that is a photographing surface when photographing the coloring member and has a low gloss.
• the glossiness of the surface of the transparent member that becomes the imaging surface may be 40 or less at 60° glossiness.
• the support is a laminate in which a first support layer including the second region and a second support layer including the first region are stacked.
• the surface of the second support layer on which the coloring member is placed may have a higher gloss than the surface of the first support layer that is in contact with the second support layer.
• the support may be made of synthetic paper.
• the support may be a resin layer on which a calibration image is disposed.
• the calibration image may be arranged on the surface of the support opposite to the side on which the coloring member is placed.
• the coloring member may develop a red color, and blue grid lines may be formed in the first region of the support.
• An energy measuring device includes at least one processor, the processor acquires a coloring member image representing the coloring member photographed by the imaging device, and performs the calibration of the present disclosure on the coloring member image. Calibration is performed using a calibration image placed on the member, and the color-forming member image after calibration is created using predetermined data on the relationship between the amount of energy applied to the color-forming member and the color of the color-forming member image. Based on the color, the amount of energy applied to the coloring member is derived.
• An energy measurement method acquires a color-forming member image representing a color-forming member photographed by a photographing device, and uses a calibration image arranged on a calibration member of the present disclosure for the color-forming member image. Calibration is performed using predetermined data on the relationship between the amount of energy applied to the coloring member and the color of the coloring member image, and the energy applied to the coloring member is calculated based on the color of the coloring member image after calibration. This is a method in which a computer executes the process of deriving the amount of energy.
• the energy measurement program acquires a color-forming member image representing a color-forming member photographed by a photographing device, and uses a calibration image arranged on a calibration member according to the present disclosure for the color-forming member image. Calibration is performed using predetermined data on the relationship between the amount of energy applied to the coloring member and the color of the coloring member image, and the energy applied to the coloring member is calculated based on the color of the coloring member image after calibration.
• the computer executes the process of deriving the amount of energy.
• the calibration member, energy measuring device, energy measuring method, and energy measuring program of the present disclosure can appropriately adjust the color tone of the image of the coloring member included in the photographed image of the coloring member.
• FIG. 1 is a configuration diagram schematically showing an example of the overall configuration of an energy measurement system according to an exemplary embodiment. It is a figure showing an example of a calibration member.
• FIG. 2 is a cross-sectional view showing an example of a cross section of a calibration member in a portion where a coloring member is placed.
• FIG. 2 is a block diagram showing an example of the hardware configuration of a smartphone.
• FIG. 2 is a block diagram showing an example of a functional configuration of a smartphone.
• FIG. 3 is a diagram for explaining an example of a screen displayed on a display. It is a flowchart which shows an example of measurement processing.
• FIG. 7 is a sectional view showing a cross section of another example of the calibration member in a portion where the coloring member is placed.
• FIG. 7 is a sectional view showing a cross section of another example of the calibration member in a portion where the coloring member is placed. It is a figure showing other examples of a calibration member.
• FIG. 1 shows a configuration diagram showing an example of the overall configuration of an energy measurement system 1 according to the present exemplary embodiment.
• the energy measurement system 1 of this exemplary embodiment includes a server 4, a database 6, and a smartphone 10.
• the server 4 and the smartphone 10 are connected to each other via a wired or wireless network so that they can communicate with each other.
• the energy measurement system 1 of this exemplary embodiment measures the amount of energy using a coloring member 30 that develops color with a density distribution depending on the amount of applied energy when energy such as pressure, heat, and ultraviolet rays is applied. It is a system for Specifically, the camera 11 of the smartphone 10 photographs the coloring member 30 after the energy has been applied, and the amount of energy applied to the coloring member 30 is derived from the photographed image 8 obtained by photographing.
• the camera 11 of the smartphone 10 according to the present exemplary embodiment is an example of the photographing device according to the present disclosure. Further, the smartphone 10 of the present disclosure is also an example of the energy measuring device of the present disclosure.
• Prescale registered trademark (manufactured by Fujifilm Corporation), which develops color with a density distribution depending on the amount of applied pressure, can be used.
• Prescale is a sheet-like support coated with a coloring agent containing microcapsules containing a colorless dye and a color developer.
• the coloring agent contains multiple types of microcapsules having different sizes and strengths, the amount of microcapsules destroyed varies depending on the applied pressure, and the coloring density also varies. Therefore, by observing the color density, the magnitude and pressure distribution of the pressure applied to the prescale can be measured.
• the coloring member 30 may include Thermoscale (trade name) (manufactured by Fujifilm Corporation), which develops color with a density distribution depending on the amount of heat applied, and a thermoscale, which develops color with a density distribution depending on the amount of ultraviolet light applied.
• UV scale (trade name) (manufactured by Fuji Film Corporation) or the like may be applied.
• the server 4 of this exemplary embodiment is a general-purpose computer in which a software program that provides the functionality of a database management system (DBMS) is installed.
• the server 4 acquires the captured image 8 and the amount of energy derived from the captured image 8 from the smartphone 10 and stores it in the database 6.
• the connection form between the server 4 and the database 6 is not particularly limited; for example, they may be connected via a data bus, or may be connected via a network such as NAS (Network Attached Storage) or SAN (Storage Area Network). It may also be in the form of
• the coloring member 30 when photographing the coloring member 30 with the camera 11 of the smartphone 10, the coloring member 30 is placed on the calibration member 20, as shown in FIG. 1 and FIG. 2, details of which will be described later.
• the user takes a picture using the camera 11 of the smartphone 10.
• the smartphone 10 acquires a photographed image 8 including the calibration member 20 and the coloring member 30.
• the photographed image 8 may be affected by the photographing environment, such as the lighting environment in which the photograph is taken, the characteristics of the camera 11, the photographing angle, and the photographing distance.
• the calibration member 20 is for correcting these influences on the photographed image 8.
• FIG. 2 shows a state in which the coloring member 30 is placed on the calibration member 20, and the surface of the calibration member 20 that is photographed with the coloring member 30 placed thereon (hereinafter referred to as (referred to as "imaging surface 20S") is shown.
• the imaging surface 20S includes a first area 20A where the coloring member 30 is placed and a second area 20B where a plurality of patches 25 are placed.
• the first area 20A in this exemplary embodiment is a central area of the imaging surface 20S, and is surrounded by a frame 21.
• the second area 20B is an area around the first area 20A on the imaging surface 20S.
• the second area 20B is an area outside the frame 21 on the imaging surface 20S.
• the patch 25 of this exemplary embodiment is an example of a calibration image of the present disclosure.
• the smartphone 10 of the energy measurement system 1 of this exemplary embodiment corrects the distortion, tilt, and size of the captured image 8 using the frame 21 shown on the imaging surface 20S of the calibration member 20 (details will be described later). .
• the frame 21 that is, the first area 20A
• the accuracy of correcting the distortion, tilt, and size of the photographed image 8 can be improved, so it is preferable that the frame 21 is rectangular.
• the photographing surface 20S includes a plurality of patches 25 extending along each side of the rectangular frame 21.
• a pair of first patch groups 22A and 22B are arranged at opposing positions with the first region 20A interposed therebetween.
• At least one of the first patch groups 22A and 22B includes a plurality of patches 25 of different colors.
• at least one of the first patch groups 22A and 22B may include a plurality of patches 25 having the same hue and different density. In other words, the colors of the plurality of patches 25 included in at least one of the first patch groups 22A and 22B may be different from each other.
• the color and number of patches 25 included in the first patch group 22A may be the same as or different from the color and number of patches 25 included in the first patch group 22B.
• the first patch groups 22A and 22B include a plurality of patches 25 arranged in the X direction and the Y direction. Note that it is preferable that the number of patches 25 arranged in the X direction (16 in the example of FIG. 2) is greater than the number of patches 25 arranged in the Y direction (2 in the example of FIG. 2).
• a pair of second patch groups 24A and 24B are arranged at opposing positions with the first region 20A interposed therebetween.
• At least one of the second patch groups 24A and 24B includes a plurality of patches 25 of different colors.
• at least one of the second patch groups 24A and 24B may include a plurality of patches 25 having the same hue and different density. In other words, the colors of the plurality of patches 25 included in at least one of the second patch groups 24A and 24B may be different from each other.
• the color and number of patches 25 included in the second patch group 24A may be the same as or different from the color and number of patches 25 included in the second patch group 24B.
• the second patch groups 24A and 24B include a plurality of patches 25 arranged in the X direction and the Y direction. Note that it is preferable that the number of patches 25 arranged in the Y direction (24 in the example of FIG. 2) is greater than the number of patches 25 arranged in the X direction (2 in the example of FIG. 2).
• the number of patches 25 included in each of the first patch groups 22A and 22B and the number of patches 25 included in each of the second patch groups 24A and 24B may be the same or different.
• the number of patches 25 included in each of the first patch groups 22A and 22B is 32
• the number of patches 25 included in each of the second patch groups 24A and 24B is 48.
• the color of at least one patch 25 included in at least one of the first patch groups 22A and 22B may be the same as the color of at least one patch 25 included in at least one of the second patch groups 24A and 24B.
• a patch 25 having the same color as a patch 25 included in at least one of the first patch groups 22A and 22B may be included in at least one of the second patch groups 24A and 24B.
• the plurality of patches 25 included in each of the first patch groups 22A and 22B and the second patch groups 24A and 24B may have the same size, shape, and angle, respectively.
• the plurality of patches 25 included in each of the first patch groups 22A and 22B and the second patch groups 24A and 24B have the same size and angle. It has a rectangular shape.
• the imaging surface 20S also includes a first patch group and a second patch group included in at least one combination of the first patch group and second patch group that are adjacent to each other in the circumferential direction of the first area 20A. Preferably, it includes a blank area located in between. "A combination of a first patch group and a second patch group that are adjacent to each other in the circumferential direction of the first region 20A" specifically refers to a combination of the first patch group 22A and the second patch group 24A, the first patch group 22A and the second patch group 24B, a combination of the first patch group 22B and the second patch group 24A, and a combination of the first patch group 22B and the second patch group 24B.
• the imaging surface 20S includes four blank areas arranged between each of the first patch group and the second patch group (that is, all of the above four combinations) that are adjacent to each other in the circumferential direction of the first area 20A. Contains 26.
• the photographed image 8 is photographed by the camera 11 at a photographing position where the four figures 27 arranged in each of the blank areas 26 fit within the angle of view, the first patch group 22A and 22B and the second patch group 24A and 24B are formed. , and the coloring member 30 placed in the first area 20A can be photographed so as to fit within the angle of view.
• the support 200 of this exemplary embodiment is a laminate in which a first support 200A and a second support 200B are laminated.
• the frame 21 and patch 25 described above are formed on the first support 200A.
• each of the frame 21 and patch 25 described above is provided on the first support body 200A.
• each of the frame 21 and the patch 25 may be provided on the surface 200AS2 of the first support 200A on the second support 200B side, or may be provided on the surface 200AS1 opposite to the surface 200AS2. .
• the frame 21 and the patch 25 may be provided on different surfaces, such as providing the frame 21 on the surface 200AS1 and the patch 25 on the surface 200AS2, or providing the frame 21 on the surface 200AS2 and the patch 25 on the surface 200AS1. may be provided.
• the coloring member 30 is placed on the second support 200B. Specifically, in the second support 200B, the surface 200BS2 contacts the coloring member 30, and the surface 200BS1 contacts the surface 200AS2 of the first support 200.
• the second support body 200B is, for example, a transparent member made of resin or the like.
• the glossiness of the surface 200AS2 of the first support 200A is relatively low, while the glossiness of the surface 200BS2 of the second support 200B is relatively high.
• the coloring member 30 is disposed on the surface 200BS2 of the second support 200B of the support 200.
• the surface on which the coloring member 30 is disposed is preferably free of dirt and is preferably whiter than the coloring member 30 that is coloring.
• the unevenness of the surface of the surface 200BS2 of the second support 200B on which the coloring member 30 is placed is suppressed, and the degree of gloss is relatively high to make it relatively smooth.
• the support body 200 of this exemplary embodiment dirt is prevented from adhering to the surface 200BS of the second support body 200B, and even if it becomes dirty, it is made easy to wipe off. In this manner, in this exemplary embodiment, the condition of the surface on which the coloring member 30 is placed can be maintained in good condition.
• the transparent member 202 is provided on the coloring member 30 so as to cover the coloring member 30.
• the size (area) of the transparent member 202 is similar to that of the support body 200. That is, the transparent member 202 of this exemplary embodiment covers the entire support 200 on which the coloring member 30 is placed.
• the coloring member 30 may be curled.
• the coloring member 30 is used by cutting out the size (area) required according to the measurement from a large roll-shaped member. Therefore, the cut out coloring member 30 may curl.
• the coloring member 30 may move if it is simply placed on the support body 200.
• the size (area) of the transparent member 202 is the same as that of the support body 200, but the size of the transparent member 202 is not limited to this exemplary embodiment.
• the transparent member 202 only needs to be larger than the coloring member 30 and cover the entire coloring member 30 .
• a surface 202S of the transparent member 202 on the opposite side to the coloring member 30 side becomes the photographing surface 20S. Therefore, when photographing the coloring member 30, if the gloss of the surface 202S of the transparent member 202 is relatively high, a large amount of reflected light is reflected by the surface 202S, and the coloring member included in the photographed image 8 obtained by photographing increases.
• the color of the image representing 30 (hereinafter referred to as "coloring member image”) may be inappropriate.
• the above-mentioned prescale used for measuring pressure develops a red color depending on the pressure, but if the reflected light is large, the image of the colored member included in the photographed image 8 becomes whitish, and the amount of energy is measured.
• the glossiness of the surface 202S of the transparent member 202 is lowered (that is, the gloss is low). This suppresses reflected light that occurs when taking pictures. Further, the glossiness of the surface 202S of the transparent member 202 that covers the coloring member 30 is lower than the glossiness of the surface 200BS2 of the second support 200B described above. Note that from the viewpoint of suppressing reflected light in order to make the color tone of the coloring member image included in the photographed image 8 appropriate, the glossiness of the surface 202S of the transparent member 202 is preferably 40 or less at 60° glossiness. .
• the coloring member 30 when photographing the coloring member 30 as described above, the coloring member 30 is placed on the first region 20A of the support 200 of the calibration member 20, and the coloring member 30 is Photographing is performed with the camera 11 while the top is covered with the transparent member 202. As a result, a photographed image 8 including a coloring member image is obtained.
• the storage unit 82 is realized by, for example, a storage medium such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), and a flash memory.
• a measurement program 83 is stored in the storage unit 82 .
• the CPU 80 reads the measurement program 83 from the storage unit 82, loads it into the memory 81, and executes the loaded measurement program 83.
• the CPU 80 is an example of a processor of the present disclosure
• the measurement program 83 is an example of an energy measurement program of the present disclosure.
• the input unit 88 is for receiving user operations, and is, for example, a touch panel, buttons, keyboard, mouse, etc.
• the camera 11 of this exemplary embodiment employs a touch panel display in which the display 84 and the input section 88 are integrated.
• the network I/F 86 performs wired or wireless communication with the server 4 and other external devices (not shown).
• the camera 11 has a plurality of sensors having different spectral sensitivities, and under the control of the CPU 80, the sensor photographs a subject and outputs an image signal of the photographed image 8.
• the smartphone 10 includes an acquisition section 90, a correction section 92, a derivation section 94, and a control section 96.
• the CPU 80 executes the measurement program 83, the CPU 80 functions as each functional unit of an acquisition unit 90, a correction unit 92, a derivation unit 94, and a control unit 96.
• the acquisition unit 90 acquires a photographed image 8 including an image representing the calibration member 20 (hereinafter referred to as a “calibration member image”) and a coloring member image of the coloring member 30, taken by the camera 11.
• a photographed image 8 including an image representing the calibration member 20 (hereinafter referred to as a “calibration member image”) and a coloring member image of the coloring member 30, taken by the camera 11.
• the correction unit 92 extracts an image representing the frame 21 (hereinafter referred to as a "frame image") from the captured image 8, and corrects distortion, tilt, and size of the captured image 8 based on the shape of the extracted frame image. Correct at least one.
• a method for extracting a frame image a known method using edge extraction processing in an image or the like can be applied as appropriate. Specifically, when the frame 21 is rectangular, the frame image is also distorted, and the correction unit 92 performs projective transformation and affine transformation so that the four corners of the frame image extracted from the captured image 8 are each 90 degrees. etc., to correct the distortion, tilt, and size of the photographed image 8.
• the correction unit 92 performs calibration on the captured image 8 acquired by the acquisition unit 90 using an image representing the patch 25 included in the captured image 8 (hereinafter referred to as a “patch image”). Specifically, the correction unit 92 corrects the captured image 8 based on the color of the patch image of the patch 25 included in the first patch group 22A and 22B and the second patch group 24A and 24 included in the captured image 8. The color (for example, at least one of hue and density) of the included coloring member image is calibrated. As a calibration method, any known method can be applied as appropriate.
• a reference color is stored in advance in the storage unit 82 for each patch 25 included in the calibration member 20, and the correction unit 92 adjusts the color of the photographed image 8 to adjust the color of the plurality of patches included in the photographed image 8. Match the color of each image to its respective reference color.
• each of the first patch groups 22A and 22B and the second patch groups 24A and 24B may include patches 25 of the same color.
• the patches 25 that are originally formed in the same color may appear to have different colors on the photographed image 8 due to the influence of the photographing environment such as the lighting environment in which the photograph is taken, the characteristics of the camera 11, the photographing angle, and the photographing distance.
• the correction unit 92 may adjust the color of the photographed image 8 so that the average color of patch images corresponding to the patches 25 formed of the same color matches the reference color.
• the correction unit 92 may adjust the color of the photographed image 8 so that among the patches 25 formed with the same color, the color of the patch image that is closest to the reference color matches the reference color. good.
• correction unit 92 may perform calibration using some of the patch images of the plurality of patches 25 included in each of the first patch groups 22A and 22B and the second patch groups 24A and 24B. .
• the correction unit 92 may change the patch 25 used for calibration depending on the type of coloring member 30.
• prescales as an example of the coloring member 30 are manufactured in a plurality of types with different measurable pressure ranges, such as those for low pressure, medium pressure, and high pressure.
• a thermoscale, a UV scale, etc. can also be used in addition to the prescale.
• the correction unit 92 adjusts the type of the coloring member 30 according to the coloring member image among the patch images of the plurality of patches 25 included in the first patch group 22A and 22B and the second patch group 24A and 24B. Calibration may be performed using patch images of some of the patches 25 determined in advance. The correspondence between the type of coloring member 30 and the patch 25 used for calibration may be stored in the storage unit 82 in advance, for example.
• the type of the photographed coloring member 30 may be input by the user through the input unit 88, or an identification code indicating the type of the coloring member 30 may be attached to the coloring member 30, and the correction unit 92 may input the type of the coloring member 30 photographed. It may be specified by reading the identification code from the image 8.
• the correction unit 92 corrects the distortion, tilt, size, and color of the photographed image 8, thereby adjusting the lighting environment in which the photograph is performed, the characteristics of the camera 11, etc. that may occur when the user performs photographing, It is possible to correct the influence of the photographing environment, such as the photographing angle and photographing distance.
• the calibration member 20 and the coloring member 30 are photographed using the photographing support device 40 as described above.
• the photographing support device 40 sets the calibration member 20 and the coloring member 30 and the camera 11 of the smartphone 10 in a predetermined positional relationship, blocks external light, and is illuminated by a predetermined illumination device 74.
• the calibration member 20 and the coloring member 30 are photographed using the light as photographing light. Therefore, in this exemplary embodiment, it is possible to photograph the calibration member 20 and the coloring member 30 while reducing the influence of the photographing environment.
• the photographed image 8 photographed by the camera 11 becomes an image in which the influence of the photographing environment described above is reduced. Therefore, according to the present exemplary embodiment, it is possible to appropriately reduce or eliminate the process of correcting the coloring member image described above, and the processing load related to the correction process can be reduced.
• the derivation unit 94 may derive various indicators regarding the amount of energy applied to the coloring member 30.
• Various indicators include, for example, the energy distribution obtained by deriving the amount of energy for each pixel of the colored image corresponding to the colored area of the colored member 30 (hereinafter referred to as "colored area"), and the energy amount of the colored area. These are representative values such as the maximum value, minimum value, average value, and median value.
• the area of the coloring region the proportion of the area of the coloring region whose energy amount is within a predetermined range, the uniformity of the energy amount of the coloring region, and the load of the coloring region (area of the coloring region and energy product of the average values of quantities), etc.
• Another example is the degree of agreement or deviation from the standard when a standard is predetermined regarding the degree of coloring (ie, energy amount and energy distribution) of the coloring member 30.
• the control unit 96 performs control to display on the display 84 the captured image 8 whose distortion, tilt, size, and color have been corrected by the correction unit 92, and various indicators regarding the amount of energy derived by the derivation unit 94. .
• FIG. 6 shows an example of the screen D displayed on the display 84 by the control unit 96. On the screen D, the coloring member image 31 in the photographed image 8 and various indicators related to the amount of energy derived from the coloring member image 31 are displayed.
• the control unit 96 may perform control to extract the coloring member image 31 from the captured image 8 and display it on the display 84.
• the "pressure area” on screen D shown in FIG. 6 means the area of the above-mentioned coloring region.
• Average pressure means the average value of the energy amount in the above coloring region.
• Load means the product of pressurized area and average pressure.
• Uniformity of pressure values means uniformity of pressure values in the coloring region.
• control unit 96 may receive input of supplementary information regarding the photographed image 8.
• Screen D displays the type of coloring member 30, pressure type, room temperature, and humidity as an example of additional information regarding the photographed image 8, and displays a pull-down menu P for accepting input thereof.
• pressure types include instantaneous pressure, which indicates the magnitude of the pressure instantaneously applied to the prescale, and continuous pressure, which indicates the time integral of the magnitude of the pressure continuously applied to the prescale, etc.
• additional information includes identification information of the calibration member 20, the coloring member 30, the user who applied energy to the coloring member 30, the user who photographed the coloring member 30, and the user's evaluation result regarding the amount of energy. , and various test conditions.
• control unit 96 transmits at least one of the photographed image 8 before correction by the correction unit 92, the photographed image 8 after correction, the coloring member image 31, and the coloring member image 31 after correction to the network I/F 86.
• the information is sent to the server 4 via the server 4.
• control unit 96 transmits to the server 4 various indicators related to the amount of energy derived by the derivation unit 94 and the incidental information inputted.
• the server 4 stores information received from the smartphone 10 (control unit 96) in the database 6 in association with the photographed image 8.
• step S ⁇ b>100 the acquisition unit 90 acquires the photographed image 8 photographed by the camera 11 and including the calibration member image of the calibration member 20 and the coloring member image 31 of the coloring member 30 .
• the correction unit 92 extracts the frame image of the frame 21 from the captured image 8 acquired in step S100, and corrects the distortion, inclination, and Correct at least one of the sizes.
• the correction unit 92 uses the patch image included in the captured image 8 corrected in step S102 to calibrate the color of the captured image 8 (particularly the coloring member image 31 included in the captured image 8). I do.
• the derivation unit 94 derives the amount of energy applied to the coloring member 30 based on the color of the coloring member image 31 calibrated in step S104.
• the control unit 96 controls the display 84 to display the coloring member image 31 calibrated in the above step S104 and the energy amount derived in the above step S106. Through this control, screen D shown in FIG. 6 is displayed on the display 84.
• the process of step S108 is finished, the information processing shown in FIG. 7 is finished.
• the color tone of the coloring member image included in the photographed image 8 of the coloring member 30 can be made appropriate.
• the configuration of the support body 200 is not limited to the above form.
• the first support body 200A and the second support body 200B may be integrated.
• a support 200C made of synthetic paper can be used.
• synthetic paper so-called Yupo paper can be used.
• a resin layer 200D may be used as the support 200, and in this case, patches 25 are placed on the resin layer 200B by printing or the like.
• the calibration member 20 may be provided with grid lines 29 that function as a guide for arranging the coloring member 30.
• the grid lines 29 have a color and thickness based on the color of the coloring member image 31 included in the photographed image 8 so as not to affect the derivation of the amount of energy applied to the coloring member 30.
• the color develops red depending on the pressure, but in this case, the color of the grid lines is preferably blue.
• the grid lines 29 are provided in the first region 20A, but they may also be provided in the second region 290B.
• the photographing device is not limited to the camera 11 provided in the smartphone 10.
• a digital camera or the like provided separately from the smartphone 10 may be used as the photographing device.
• the energy measuring device is not limited to the smartphone 10.
• a tablet terminal, a wearable terminal, a personal computer, etc. may be applied as the energy measuring device.
• the photographing device and the energy measuring device may be separate bodies.
• processor can be used.
• the various processors mentioned above include the CPU, which is a general-purpose processor that executes software (programs) and functions as various processing units, as well as circuits such as FPGA (Field Programmable Gate Array) after manufacturing.
• a programmable logic device (PLD) which is a processor whose configuration can be changed, and a dedicated electrical device, which is a processor with a circuit configuration specifically designed to execute a specific process, such as an ASIC (Application Specific Integrated Circuit) Includes circuits, etc.
• ASIC Application Specific Integrated Circuit
• one processor is configured with a combination of one or more CPUs and software, as typified by computers such as a client and a server.
• a processor functions as multiple processing units.
• processors that use a single IC (Integrated Circuit) chip, such as System On Chip (SoC), which implements the functions of an entire system including multiple processing units. be.
• SoC System On Chip
• various processing units are configured using one or more of the various processors described above as a hardware structure.
• circuitry that is a combination of circuit elements such as semiconductor elements can be used.
• the measurement program 83 is stored (installed) in the storage unit 82 in advance, but the present invention is not limited thereto.
• the measurement program 83 may be provided in a form recorded on a recording medium such as a CD-ROM (Compact Disc Read Only Memory), a DVD-ROM (Digital Versatile Disc Read Only Memory), or a USB (Universal Serial Bus) memory. good.
• each of the measurement programs 83 may be downloaded from an external device via a network. That is, the program (program product) described in this exemplary embodiment may be provided in a recording medium or may be distributed from an external computer.

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• 2023
  • 2023-05-24 JP JP2024524782A patent/JPWO2023234148A1/ja active Pending
  • 2023-05-24 CN CN202380041475.2A patent/CN119213285A/zh active Pending
  • 2023-05-24 EP EP23815907.3A patent/EP4534966A4/en active Pending
  • 2023-05-24 WO PCT/JP2023/019397 patent/WO2023234148A1/ja not_active Ceased
  • 2023-05-30 TW TW112120105A patent/TW202413896A/zh unknown
• 2024
  • 2024-11-12 US US18/945,449 patent/US20250069268A1/en active Pending

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