JP2005045673A - Image processor, image processing method and image forming device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image processor capable of easily detecting and notifying whether an image input device for reading input image data or an image output device for outputting image data is abnormal or not. <P>SOLUTION: This image processor is provided with an image composition processing part 14b for compositing the read data of the device abnormality detection chart inputted by the image input device 21 with the teacher data of a device abnormality detection chart stored in a data storing part 14a to form a composited output image, a device abnormality detection processing part 14c for reading again the composited output image outputted from the image output device 22 by the image input device 21 and detecting an abnormal state in the image input device 21 or the image output device 22 on the basis of the read result, and a display part 23a for notifying the abnormal state of the image input device 21 or the image output device 22 detected by the device abnormality detection processing part 14c. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  In the case where an abnormal state occurs in the image input device or the image output device due to a change over time, etc., the present invention quickly detects the abnormal state and determines / reports where the abnormal state has occurred. The present invention relates to an image processing apparatus, an image processing method, and an image forming apparatus configured to prevent a decrease in image quality.

  The image input device has a variation in the light emission amount of the light source, a variation in the sensitivity of the CCD line sensor, a variation in the transmittance of the R, G, and B color filters provided on the sensor. Reading density varies. In addition, the image output apparatus has variations in image output density due to overlap of sensitivity characteristics of the photoconductor used in the electrophotographic process and electrostatic processes from charging to development.

  For this reason, as a technique for determining the abnormal state in order to perform correction for suppressing variations inherent in the apparatus even in an abnormal state of the image input device and the image output device, for example, when a reference chart is read by the image input device, reading is performed. By comparing the read data of the reference chart thus obtained with the teacher data of the reference chart stored in advance, it is determined whether or not the correction amount exceeds the R, G, B correction amount threshold value. An image processing method has been proposed in which the image input device is warned as abnormal when the value exceeds.

Similarly, when the output image output by the image output device based on the read data is read by the image input device that has been corrected, the read output image data is compared with the teacher data stored in advance. It is determined whether or not the correction amount exceeds the threshold values of C, M, Y, and K. If the correction amount exceeds the threshold value, a warning is given as an abnormality of the image output device, so that the abnormal part can be quickly identified. (For example, refer to Patent Document 1).
Patent No. 635518 (paragraphs “0012” to “0035”, FIG. 1)

  In the above prior art, when the read value of the reference chart exceeds the threshold value in the input γ determination process of the image input device, or the read value of the output image based on the reference data exceeds the threshold value in the output γ determination process of the image output device. However, if the threshold value is not exceeded, the input γ determination process or the output γ determination process is executed.

  Therefore, when the MTF (Modulation Transfer Function) on the rear side of the image input apparatus (see the image forming apparatus in FIG. 13) is poor but the reading value of the reference chart does not exceed the threshold value, or on the rear side of the image input apparatus, for example, C When the density of (cyan) is low but the read value of the output image based on the reference data does not exceed the threshold value, it is impossible to detect an abnormality in the image input device or the image output device, and the input γ of the image input device The determination process or the output γ determination process of the image output apparatus is executed, and adjustment with strong cyan C color is performed. In addition, since both are adjusted with a strong cyan C color, it is not possible to determine whether there is an abnormality in the image input device or an abnormality in the image output device simply by looking at the output image quality.

Hereinafter, a specific example will be described.
In the initial state in which the optical system is not contaminated or deteriorated, the reading correction of the image input apparatus is performed by first reading the reference chart by the image input apparatus, and reading the R value of the first color in the reference chart and the first color in the reference chart. The R teacher data is compared, and using this difference as a correction amount, correction of the read value of R (input γ determination processing of the image input device: refer to FIG. 1) is performed using equation (1). Note that G and B are also corrected by the second and third colors of the reference chart in the same manner as R.

  [When the image input device is normal]

  However, if the MTF is partially reduced due to contamination such as dust adhering to the mirror of the image input device due to fluctuation over time, the input γ determination process does not correct correctly. For example, when the MTF on the rear side is lower than the other parts, the read value of R for the first color located on the rear side of the reference chart is higher than the read value in the normal state. The correction of the value is erroneously corrected by the equation (2) (see FIG. 2). Therefore, as shown in FIG. 2B, the corrected read value is not linear, and the output value after R correction is lower than the original value except for the rear side.

  On the other hand, with respect to G and B, since correction is performed with the second and third colors located in the middle or front side of the reference chart, correct correction is performed according to the equation (1). Therefore, if the input γ determination processing of the image input apparatus as described above is executed when the MTF is poor only on the rear side, adjustment with a strong cyan C color is obtained.

  [When the MTF on the rear side of the image input device is low]

  Next, when executing the output γ determination process of the image output device in the initial state, the image output device outputs an image based on the C, M, Y, and K reference data, and the output image is input to the image. Read with a device. At this time, the input γ determination processing of the image input device must already be completed.

  The read image data is converted into C, M, Y, K data by the color correction processing of the image processing apparatus (however, black generation / UCR processing is through for the first color C to the third color Y, and the fourth The color K is 100% black generation / UCR process), the output image data of the first color C is compared with the C teacher data, and this difference is used as a correction amount to correct the output value of the C (of the image output apparatus). Output γ determination processing (see FIG. 3) is performed by the following equation (3). For M, Y, and K, correction is performed in the same manner as in C.

  [When the image output device is normal]

  However, when the output density is partially reduced due to deterioration of the photoconductor / development system of the image output device due to a change over time, the output γ determination process of the image output device cannot correct correctly. For example, when the output position of the C image is on the rear side and the output density of C on the rear side is lower than other portions when the output γ determination process is executed, the image output based on the C reference data is The concentration is lower than normal. Therefore, the C output image data read by the image input device and processed by the color correction processing unit of the image processing device takes a value lower than the normal state, and the correction of the C output value is performed by the following equation (4). It is corrected erroneously (see FIG. 4). Therefore, as shown in FIG. 4B, the corrected read value is not linear, and the corrected output value of C other than the rear side is higher than the original value.

  [When the density on the rear side of the image output device is low]

  On the other hand, with respect to M, Y, and K, since the output position of the image is in the middle or on the front side, correct correction is performed according to equation (3). Therefore, if the output γ determination processing of the image output apparatus as described above is executed when the density is low only on the rear side of C, adjustment with strong cyan color is obtained.

  As described above, conventionally, it has not been possible to reliably detect abnormality of the image input device and the image output device due to temporal variation.

  The present invention has been made in view of such circumstances, and an image processing apparatus capable of easily detecting / notifying at a time whether an image input apparatus that reads input image data or an image output apparatus that outputs image data is abnormal. An object of the present invention is to provide an image processing method and an image forming apparatus.

  In the present invention, means for solving the above-described problems are configured as follows.

(1) Abnormal state of an image input device connected to the input side for reading image data, and an image output device connected to the output side to output an image based on the image data that has undergone image processing An image processing apparatus capable of detecting
An image composition processing unit that combines the read data of the device abnormality detection chart input from the image input device and the teacher data of the device abnormality detection chart stored in advance in the data storage unit to form a composite output image; The composite output image output from the image output device is read again by the image input device, and based on the read result, a device abnormality detection processing unit that detects an abnormal state of the image input device and the image output device; And a display unit for notifying an abnormal state of the image input device and the image output device detected by the device abnormality detection processing unit.

  In this configuration, the composite output image output from the image output device is read again by the image input device, and an abnormal state of the image input device and the image output device is detected on the basis of the read result. Alternatively, detection and notification as to which of the image output devices is in an abnormal state can be performed at a time.

  (2) In the device abnormality detection chart, the same pattern image is arranged at a plurality of positions, and the image composition processing unit uses the teacher data of the device abnormality detection chart stored in the data storage unit as the teacher data. It is characterized in that it is synthesized close to the read data corresponding to the pattern image of the device abnormality detection chart read by the image input device.

  In this configuration, it is possible to easily determine whether the image input device is a problem or the image output device is a problem by combining and outputting the pattern image read by the image input device and the teacher data close to each other. . In addition, since abnormality detection is performed on the image input device and the image output device at a plurality of positions, the abnormality at the specific position is detected without omission.

  (3) a control unit that determines an abnormal state of the image input device or the image output device based on the number of reading processes of the image data by the image input device or the number of output processing times of the image data by the image output device; It is characterized by that.

  In this configuration, whether or not the optical system of the image input apparatus has an abnormality such as dirt or deterioration due to aging when the number of times image data is read or the number of times image data is output reaches a predetermined number. In addition, it is possible to accurately detect the abnormality of the apparatus at an appropriate time by prompting the execution of the determination of whether the charging member, the photosensitive member, and the transfer member of the image output apparatus are fatigued due to aging. In addition, changes over time are comprehensively grasped.

  (4) An image forming apparatus includes the image processing apparatus according to any one of (1) to (3).

  In this configuration, whether or not the image input device or the image output device is in an abnormal state even when the reading value of the image input device varies depending on the position and also when the output density of the image output device varies depending on the position. Can be easily detected and notified at once.

  (5) The apparatus abnormality detection chart is provided in the vicinity of a white reference plate for performing shading correction.

  In this configuration, since the pattern image of the device abnormality detection chart is attached to the machine, it is not necessary for the serviceman or the user to manage the device abnormality detection chart, and the handling is easy. In addition, the apparatus abnormality detection chart can be automatically read in accordance with the number of times image data is read or the number of times image data is output.

  (6) The apparatus abnormality detection chart is formed on a cylindrical member.

  In this configuration, since the pattern of the apparatus abnormality detection chart fits compactly in the machine and the pattern of the apparatus abnormality detection chart in the sub-scanning direction can be read a plurality of times by the image input device, machine abnormality can be detected with higher accuracy. .

  (7) A synthesizing step of synthesizing teacher data of the apparatus abnormality detection chart stored in the data storage unit in proximity to a plurality of pattern images of the reference chart read by the image input device, and the synthesized image data A detection step of reading the composite output image output from the image output device again by the image input device, detecting an abnormal state of the image input device or the image output device based on the read result, and the detected abnormality A notification step of notifying the state.

  In this method, even when there is a reading variation due to the position of the image input device or an output variation depending on the position of the image output device, it is detected at a time whether the image input device or the image output device is in an abnormal state. Easy and reliable.

  As is clear from the above description, the present invention has the following effects.

  (1) Since the composite output image output from the image output device is read again by the image input device and the abnormal state of the image input device and the image output device is detected based on the read result, the image input device or the image output Detection and notification of which of the devices is in an abnormal state can be performed at a time.

  (2) By synthesizing and outputting the pattern read by the image input device and the teacher data close to each other, it is possible to easily determine whether the image input device is a problem or the image output device is a problem. In addition, since the abnormality detection of the image input apparatus and the image output apparatus at a plurality of positions is executed, it is possible to detect without any abnormality at a specific position.

  (3) At the time when the number of image data reading processes or the number of image data outputting processes reaches a predetermined number, whether or not an abnormality such as contamination or deterioration due to aging has occurred in the optical system of the image input apparatus; In addition, it is possible to accurately detect the abnormality of the apparatus at an appropriate time by prompting the execution of the determination of whether the charging member, the photosensitive member, and the transfer member of the image output apparatus are fatigued due to aging. . In addition, it is possible to comprehensively grasp temporal changes.

  (4) Detection / notification of whether or not the image input device or the image output device is in an abnormal state even when the reading value of the image input device varies depending on the position and also when the output density of the image output device varies depending on the position. Can be easily done at once.

  (5) Since the pattern of the apparatus abnormality detection chart is attached to the machine, it is not necessary for the serviceman or the user to manage the apparatus abnormality detection chart, and handling is easy. In addition, the apparatus abnormality detection chart can be automatically read in accordance with the number of times image data is read or the number of times image data is output.

  (6) Since the pattern of the apparatus abnormality detection chart fits compactly in the machine and the pattern of the apparatus abnormality detection chart in the sub-scanning direction can be read a plurality of times by the image input device, it is possible to detect machine abnormality more accurately.

  (7) Even when there is a reading variation due to the position of the image input device or an output variation due to the position of the image output device, it is easily and reliably detected whether the image input device or the image output device is in an abnormal state at once. be able to.

  Hereinafter, an image processing apparatus, an image processing method, and an image forming apparatus according to embodiments of the present invention will be described in detail with reference to the drawings.

<Image input device>
FIG. 5 is a front sectional view showing the configuration of the scanner 1 as the image input apparatus. The scanner 1 is provided with a document table 2, an operation panel (not shown), an optical system described later, and the like. An upper surface of the document table 2 is supported so as to be openable and closable with respect to the document table 2, and a double-sided automatic document feeder (RADF) 3 is mounted in a predetermined correspondence with the document table surface. Yes.

  Further, the double-sided automatic document feeder 3 first transports the document so that one side of the document faces the image input device 21 at a predetermined position on the document table 2, and after the image reading on this one side is completed. Then, the document is reversed and conveyed toward the document table 2 so that the other surface faces the image input device 21 at a predetermined position on the document table 2. Then, the double-sided automatic document feeder 3 discharges this document after the image reading on both sides of one document is completed, and executes a duplex conveyance operation for the next document. The above document transport and front / back reversing operations are controlled in relation to the operation of the entire image forming apparatus.

The image input device 21 is arranged at a position immediately below the document table 2 in order to read the document conveyed on the document table 2 by the double-sided automatic document feeder 3 or the image of the document placed on the document table 2 by the user. Has been. The image input device 21 includes a document scanning body including a first scanning unit 5 and a second scanning unit 6 that reciprocate in parallel along the lower surface of the document table 2, an optical lens 7, and a photoelectric conversion element. And a certain CCD (Charge Coupled Device) line sensor 8.

  The first scanning unit 5 has an exposure lamp 5a for exposing the surface of the document image and a first mirror 5b for deflecting a reflected light image from the document in a predetermined direction. Reciprocally move in parallel at a predetermined scanning speed while maintaining a certain distance. The second scanning unit 6 has second and third mirrors 6a and 6b for deflecting the reflected light image from the original deflected by the first mirror 5b of the first scanning unit 5 in a predetermined direction. Then, it reciprocates while maintaining a constant speed relationship with the first scanning unit 5.

  The optical lens 7 reduces the reflected light image from the original deflected by the third mirror 6 b of the second scanning unit 6, and forms the reduced light image at a predetermined position on the CCD line sensor 8. The CCD line sensor 8 sequentially photoelectrically converts the formed light image and outputs it as an electrical signal.

  The CCD line sensor 8 reads a black and white image or a color image, and outputs, for example, three lines of color that can be separated into R (red), G (green), and B (blue) color components. CCD. The document image information converted into an electrical signal by the CCD line sensor 8 is further transferred to an image processing apparatus (shown in FIG. 7) to be described later and subjected to predetermined image data processing.

  Here, the above-described image input device is shown to have a form including a double-sided automatic document feeder, but is not limited to this, and those having an automatic document feeder (ADF), these None of them are equipped with a document table cover alone, or a double-sided document simultaneous reading system comprising a document reading system comprising the above two document scanning bodies, an optical lens and a CCD line sensor 8 and a reading system using a contact image sensor. It may be a form provided with a device.

<Image processing device>
FIG. 6 shows a control system block diagram of a digital color copying machine (image forming apparatus of the present invention) 100 provided with a color image processing apparatus (image processing apparatus of the present invention) 10. As shown in the figure, the color image processing apparatus 10 includes an A / D (analog / digital) conversion unit 11, a shading correction unit (input correction unit) 12, an input tone correction unit 13, and an abnormality determination processing unit of the apparatus (present invention). Control unit) 14, area separation processing unit 15, color correction unit 16, black generation and under color removal unit 17, spatial filter processing unit 18, output gradation correction (output γ correction) unit 19, and gradation reproduction processing unit 20 A color image input device (hereinafter referred to as an image input device) 21 is connected to the input side, and a color image output device (hereinafter referred to as an image output device) 22 is connected to the output side. Make up a copier.

  The image input device 21 is constituted by the scanner 1 provided with the CCD line sensor 8 as described above, and the reflected light image from the original is converted into R, G, B (R: red, G: green, B: blue). The analog signal is read by the CCD line sensor 8 and input to the color image processing apparatus 10.

  The analog signal read by the image input device 21 passes through the color image processing device 10 in an A / D conversion unit 11, an input correction unit 12, an input tone correction unit 13, an apparatus abnormality determination processing unit 14, and a region separation. The processing unit 15, the color correction unit 16, the black generation and under color removal unit 17, the spatial filter processing unit 18, the output gradation correction unit 19, and the gradation reproduction processing unit 20 are sent in this order, and as CMYK digital color signals, The image is output to the image output device 22.

  The A / D converter 11 converts an RGB analog signal into a digital signal. The input correction unit 12 applies a shading correction / line to the digital RGB signal sent from the A / D converter 11. Delay processing, MTF correction processing, input color correction processing, input γ correction, and the like are performed.

  The apparatus abnormality determination processing unit (the apparatus abnormality determination processing unit of the present invention) 14 is processed only when an abnormality is detected in the image input device 21 and the image output device 22, and includes a data storage unit 14a, an image composition processing unit 14b, and an apparatus. The abnormality detection processing unit 14c. Details of the abnormality determination processing unit 14 of the apparatus will be described later.

  The input tone correction unit 13 adjusts the color balance of the RGB signal (RGB reflectance signal) from which various distortions have been removed by the input correction unit 12 and simultaneously applies the density signal such as the density signal to the color image processing apparatus 10. A process of converting the signal into an easy-to-handle signal of the employed image processing system is performed.

  The region separation processing unit 15 separates each pixel in the input image into one of a character edge region, a halftone dot region, a photographic region, and the like based on the CMY signal. The region separation processing unit 15 sends a region identification signal indicating which region the pixel belongs to based on the separation result to the black generation and under color removal unit 17, the spatial filter processing unit 18, and the gradation reproduction processing unit 20. In addition to the output, the input signal output from the input tone correction unit 13 is output to the subsequent color correction unit 16 as it is.

  The color correction unit 16 performs a process of removing color turbidity based on spectral characteristics of CMY (C: cyan, M: magenta, Y: yellow) color materials including unnecessary absorption components in order to realize faithful color reproduction. Is.

  The black generation and under color removal unit 17 generates black (K) signals from the CMY three-color signals after color correction, and subtracts the K signals obtained by black generation from the original CMY signals to generate new CMY signals. The CMY three-color signal is converted into a CMYK four-color signal.

  As an example of the black generation process, there is a method (general method) for generating black by skeleton black. In this method, the input / output characteristic of the skeleton curve is y = f (x), the input data is C, M, Y, the output data is C ′, M ′, Y ′, K ′, UR (Under Color). If the Removal rate is α (0 <α <1), the black generation and under color removal processing is expressed by the following equation (5).

  The spatial filter processing unit 18 performs spatial filter processing by a digital filter on the image data of the CMYK signal input from the black generation and under color removal unit 17 based on the region identification signal, thereby correcting the spatial frequency characteristics. The gradation reproduction processing unit 20 performs processing so as to prevent blurring of the output image and deterioration of graininess. Similarly to the spatial filter processing unit 18, the gradation reproduction processing unit 20 uses a region identification signal based on the image data of the CMYK signal. Is subjected to predetermined processing.

  For example, a region separated into character edges by the region separation processing unit 15 is a high-frequency enhancement amount by sharp enhancement processing in the spatial filter processing by the spatial filter processing unit 18 in order to improve the reproducibility of black characters or color characters in particular. Is increased. At the same time, the tone reproduction processing unit 20 selects binarization or multi-value processing on a high-resolution screen suitable for high-frequency reproduction.

  Further, with respect to the region separated into halftone dots by the region separation processing unit 15, the spatial filter processing unit 18 performs low-pass filter processing for removing the input halftone component. The output gradation correction unit 19 performs an output gradation correction (output γ correction) process for converting a signal such as a density signal into a halftone dot area ratio that is a characteristic value of the color image forming unit, and then reproduces the gradation. In the processing unit 20, gradation reproduction processing (halftone generation) is performed so that the image is finally separated into pixels and each gradation can be reproduced. For the region separated into photographs by the region separation processing unit 15, binarization or multi-value processing is performed on the screen with an emphasis on gradation reproducibility.

  The image data that has been subjected to the above-described processes is temporarily stored in the storage means, read at a predetermined timing, and input to the image output device 22.

  The image output device 22 outputs image data onto a recording medium (for example, paper). Examples of the image output device 22 include an image output device using an electrophotographic method or an ink jet method, but are particularly limited. is not. The above processing is controlled by, for example, a control unit (not shown) having a CPU (Central Processing Unit).

《Electrophotographic process》
Hereinafter, an electrophotographic process in the image output apparatus 22 will be described. In FIG. 7, a photoconductive layer such as amorphous silicon (a-Si) / selenium (Se) or organic photo semiconductor (OPC) is formed in a thin film on the outer peripheral surface of a metal drum such as aluminum as a base material. A photoreceptor (image carrier) 31 is disposed.

  Around the photosensitive member 31, a charging member (for example, a charging wire such as a tungsten wire, a corona charger including a metal shield plate or a grit plate, a charging roller or a charging brush) 32, a laser or an LED (Light Emitting Diode) is provided. An exposure member 33, a developing device 34, a transfer member (transfer roller, other charging brush, corona charger, etc. can be used) 35, a cleaning member 36, and a charge removal member 37 are arranged. A fixing member 38 is disposed on the downstream side of the transfer member 35.

  With such a configuration, the photosensitive member 31 is first uniformly charged by the charging member 32, and then the photosensitive member 31 is irradiated with light by the exposure member 33 in accordance with image information to form an electrostatic latent image. The The electrostatic latent image formed on the photosensitive member 31 is stored in the developing device 34 by a developing electric field formed between the photosensitive member 31 and the developing device 34 (a bias power source provided in the developing device 34 is not shown). The developer (toner) moves and is visualized as a toner image.

  This toner image is transferred onto a recording medium such as paper by a transfer member 35 and fixed by a fixing member 38. After the toner image is transferred, the toner remaining on the photosensitive member 31 is removed by a cleaning member (for example, a cleaning blade) 36, and is uniformly charged again by the charging member 32, and the above-described process is repeated.

  However, when it changes with time, the charging member 32 and the photosensitive member 31 come into contact with the cleaning member 36, resulting in mechanical wear and fatigue of the transfer member. Therefore, the toner density varies depending on the position even under the same conditions. There is a case.

<Image composition processing section>
Next, the image composition processing unit 14b in the abnormality determination processing unit 14 (see FIG. 6) of the apparatus will be described. When the apparatus abnormality determination process is executed, first, the apparatus abnormality detection chart shown in FIG. 8 is first read by the image input apparatus 21, and after A / D (analog / digital) conversion, is input to the input correction unit 12. The input γ correction is performed.

  In the apparatus abnormality detection chart, gray low density patches, medium density patches, and high density patches are arranged at positions (1) to (9) in FIG. All the patches in (1) to (9) are the same patch. The patches (1) to (3) are used to indicate abnormalities on the rear side of the image input device, the patches (4) to (6) are used to indicate abnormalities in the middle of the image input device, and the patches (7) to (9) are used to generate images. Abnormalities on the front side of the input device 21 can be detected respectively.

  Next, the data of the device abnormality detection chart read by the image input device 21 in the image composition processing unit 14b and input γ-corrected by the input correction unit 12, and the teacher of the device abnormality detection chart read from the data storage unit 14a. Combining with data. The teacher data (R = 200, G) of the low density patch of the apparatus abnormality detection chart read from the data storage unit 14a below the low density patch data (1) of the apparatus abnormality detection chart read by the image input device 21. = 200, B = 200), and the apparatus abnormality detection chart read from the data storage unit 14a below the data of the medium density patch (1) of the apparatus abnormality detection chart read by the image input device 21. The data storage unit stores the teacher data (R = 100, G = 100, B = 100) of the medium density patch below the data of the high density patch (1) in the apparatus abnormality detection chart read by the image input device 21. The teacher data (R = 30, G = 30, B = 30) of the high density patch of the apparatus abnormality detection chart read from 14a is synthesized. Also for the patches (2) to (9), the teacher data is synthesized under the read data of the image input device 21 as in the patch of (1).

  The synthesized data is converted into CMYK four-color signals by the color correction unit 16 and the black generation and under color removal unit 17, and the output tone correction (output γ correction) unit 19 performs output tone correction / tone reproduction processing (intermediate). After the tone generation), the image output device 22 outputs the result. In the apparatus abnormality determination process, the input tone correction unit 13, the region separation processing unit 15, and the spatial filter processing unit 18 are set to through. The device abnormality detection output image of FIG. 9 output by the image output device 22 is read again by the image input device 21, and the abnormality detection processing unit 14 of the device detects abnormality of the image input device 21 and the image output device 22. To do.

[Device abnormality detection processing section]
The apparatus abnormality detection processing unit 14c detects an apparatus abnormality based on data obtained by reading the apparatus abnormality detection output image shown in FIG. First, the abnormality of the image input device 21 is determined. The read values (D_1R_1, D_1G_1, D_1B_1) of the R signal, the G signal, and the B signal of the gray low density patch obtained by reading out and outputting the apparatus abnormality detection chart by the image input apparatus 21 in FIG. ) The difference between the read values (T_1R_1, T_1G_1, T_1B_1) of the R signal, G signal, and B signal of the image output the teacher data of the gray low density patch in (a) is taken, and the difference is less than the threshold (Th_1). (See equation (6)).

  Next, the read values (D_mR_1, D_mG_1, D_mB_1) of the R signal, G signal, and B signal of the gray density patch obtained by reading out and outputting the apparatus abnormality detection chart by the image input device 21 in FIGS. The difference between the read values (T_mR_1, T_mG_1, T_mB_1) of the R signal, G signal, and B signal of the image output the teacher data of the gray density patch of 9 (1) (b) is taken, and the difference is the threshold value (Th_m). Determine if it is less than.

  Furthermore, the read values (D_hR_1, D_hG_1, D_hB_1) of the R signal, G signal, and B signal of the gray high-density patch obtained by reading out and outputting the apparatus abnormality detection chart by the image input device 21 in FIGS. (1) The difference between the read values (T_hR_1, T_hG_1, T_hB_1) of the R signal, G signal, and B signal of the image that outputs the teacher data of the gray high density patch of (b) is taken, and the difference is less than the threshold (Th_h). It is determined whether or not.

  If any one of the R signal, G signal, and B signal of the low density / medium density / high density patch of (1) is above the threshold, the reading value of the image input device at the position of (1) is abnormal. It is. Further, the same processing as in (1) is performed for the patches at the positions (2) to (9), and the normality / abnormality of the reading value of the image input device 21 at each position is detected.

  If any one of (1) to (9) is abnormal, an operation panel [for example, a setting button for controlling the operation of the liquid crystal display unit and the entire digital color copying machine {for example, copying is performed. The image mode (character mode, character photo mode, photo mode, etc.) representing the document type is configured} etc.] and displayed on the display unit 23 (for example, liquid crystal display) 23a to warn of an abnormality in the image input device 21 To do.

  When an abnormality of the image input device 21 is detected by the above method, even if the output density of the image output device 22 varies depending on the position, the read data of the patch of the device abnormality detection chart by the image input device 21 and its teacher data Are output adjacent to each other, so that the abnormality can be accurately detected by the following equation (6).

  Second, an abnormality in the image output device 22 is detected. The abnormality detection of the image output device 22 is performed by reading the patches (1), (b) to (9), and (b) of the device abnormality detection output image shown in FIG. A device abnormality is detected based on a difference from the reading value.

When the image input device 21 and the image output device 22 are in an ideal state, teacher data of the device abnormality detection chart is output through color correction processing, black generation / under color removal processing, output gradation correction processing, and gradation reproduction processing. Thereafter, the patches (1), (b) to (9) and (b) of the apparatus abnormality detection output image are read again by the image input apparatus 21, and the data obtained by executing the A / D conversion process and the input γ process are low in gray. The density patch is R = 200, G = 200, B = 200, the medium density patch is R = 100, G = 100, B = 100, the high density patch is R = 30, G = 30, B = 30.

Accordingly, the image input device 21 reads again the image output from the gray low density patch based on the teacher data of FIGS. 9A and 9B, and the R signal and G signal after A / D conversion processing and input γ processing are read. , B signals (T_1R_1, T_1G_1, T_1B_1) and the gray low density patch data (R = 200, G = 200, B = 200) in the ideal state are the output values of the image output device 22 in (1). This is the sum of the deviation from the ideal and the deviation of the reading value of the image input device 21 from the ideal. It is determined whether the difference is less than a threshold value (Th_1 + α). However, α is the reading error | D_1_n−T_1_n | of the low density portion image input device 21 in each of (1) to (9), and the low density portion of the image input device 21 in (1) to (9). If there is no reading error, α is 0 (see equation (7)).

  Next, an image output from the medium density patch based on the teacher data of FIGS. 9 (1) and 9 (b) is read again by the image input device 21, and the R signal, G signal after A / D conversion processing, input γ processing, It is determined whether or not the difference between the B signal (T_mR_1, T_mG_1, T_mB_1) and the gray medium density patch data (R = 100, G = 100, B = 100) in the ideal state is less than the threshold (Th_m + α). However, α is a reading error | D_m_n−T_m_n | of the image input device 21 in the middle density portion in each of (1) to (9).

  Furthermore, the image input device 21 reads again the image output from the gray high density patch based on the teacher data of FIGS. 9A and 9B, and the R signal and G signal after A / D conversion processing and input γ processing are read. , B signal (T_hR_1, T_hG_1, T_hB_1) and the gray high density patch data (R = 30, G = 30, B = 30) in the ideal state are determined to be less than the threshold (Th_h + α). However, α is a reading error | D_h_n−T_h_n | of the image input device 21 of the high density portion in each of (1) to (9).

  If any one of the R signal, G signal, and B signal of the low density / medium density / high density patch of (1) is above the threshold, the output value of the image output device 22 at the position of (1) is abnormal. It is. Further, the same processing as in (1) is performed on the patches at the positions (2) to (9), and an abnormality in the output value of the image output device 22 at each position is detected. If any one of (1) to (9) is abnormal, the liquid crystal display unit on the operation panel 23 is warned of the abnormality of the image output device 22.

  Even when there is a reading error in the image input device 21 when an abnormality of the image output device 22 is detected by the above method, the ideal output value of the image output device 22 is taken into account in consideration of the reading error of the image input device 21 in advance. Therefore, the abnormality can be accurately detected by the following equation (7).

<Process flow>
FIG. 10 shows the flow of processing. That is, first, it is determined whether or not the number of image data output processes has exceeded 10,000 (S1), and if it exceeds 10,000, the apparatus abnormality detection chart read data and teacher data are combined (S2). Next, the synthesized output image is read, and it is determined whether an abnormality of the apparatus is detected (S3). As a result, if it is normal, the flow is terminated, and if an abnormality is detected, an abnormality is displayed (S4).

  If the number of image data output processes does not exceed 10,000 in S1, ON / OFF of the apparatus abnormality detection mode is determined by simulation (S5). If ON, the process proceeds to S2. If it is OFF, the apparatus abnormality determination process is not executed (S6).

  In the initial state, it is considered that the optical system of the image input device 21 is not contaminated or deteriorated, or the charging member 32, the photosensitive member 31 and the transfer member 35 of the image output device 22 are less fatigued. Since the fatigue does not progress rapidly, the apparatus abnormality determination process is not executed during normal use. Accordingly, the number of times image data is read or the number of times image data is output is counted by a counter, and abnormality determination processing is executed for every 10,000 output sheets that are expected to fluctuate over time and become contaminated or fatigued. .

  In addition, a serviceman, a machine management user, or the like mainly executes an apparatus abnormality determination process at the time of executing the input γ determination process of the image input apparatus 21 or at the time of executing the output γ determination process of the image output apparatus 22 during maintenance. May be. When executing the apparatus abnormality determination process, a serviceman, a machine management user, or the like operates the operation panel 23 to enter the simulation mode and turn on the apparatus abnormality detection mode display.

  When the apparatus abnormality determination process is executed, the apparatus abnormality detection chart is read by the image input device 21, and the read data and the teacher data of the apparatus abnormality detection chart read from the data storage unit 14a are sent to the image composition processing unit 14. To synthesize. The synthesized data is converted into CMYK four-color signals by the color correction unit 16 and the black generation and under color removal unit 17, and the output tone correction (output γ correction) unit 19 performs output tone correction / tone reproduction processing (intermediate). After the tone generation), the image output device 22 outputs the result. Then, the apparatus abnormality detection output image of FIG. 9 output by the image output apparatus 22 is read again by the image input apparatus 21, and the abnormality detection processing unit 14c of the apparatus detects abnormality of the image input apparatus 21 and the image output apparatus 22. Is detected.

The apparatus abnormality detection chart was used in the above processing flow, but instead, the patches (1), (4), and (7) of the apparatus abnormality detection chart were printed near the white reference plate for shading correction. A white plate (see FIG. 11) may be provided. Alternatively, a device (see FIG. 12) in which a patch of the apparatus abnormality detection chart is printed on the cylindrical member 60 is provided near the white reference plate that performs shading correction, and the optical system of the image input device 21 is rotated. May be stopped, and the patch may be read by the image input device 21.

《Another application example》
Although the digital copying machine has been described above as an example, the present invention is applied to a mode in which an image input device (image reading device), an image processing device, and an image output device are connected via a network. Is also possible.

It is a graph of the read value after correction | amendment of the reference | standard chart in the case of the conventional image input device being a normal state. It is a graph of the read value after correction | amendment of the reference | standard chart in case the image input device is in an abnormal state. It is a graph of the output value after correction | amendment of reference | standard data when the image output device is a normal state. It is a graph of the output value after correction | amendment of the reference data in case the image output device is in an abnormal state. 1 is a front sectional view showing a configuration of a scanner as an image input apparatus according to an embodiment of the present invention. 2 is a configuration diagram of an image processing apparatus used in the digital color image forming apparatus. FIG. 2 is a schematic diagram illustrating the same electrophotographic process. It is a schematic diagram of the apparatus abnormality detection chart. It is a schematic diagram of the apparatus abnormality detection output image. It is a flowchart for demonstrating the flow of the apparatus abnormality determination process. It is a schematic diagram of the white board which was attached to the white reference board vicinity which performs the shading correction | amendment, and printed the patch of the apparatus abnormality detection chart. It is a cylindrical schematic diagram that is attached in the vicinity of a white reference plate that performs the same shading correction and on which a patch of an apparatus abnormality detection chart is printed. FIG. 6 is an explanatory diagram for explaining positions on a front side and a rear side in a general image forming apparatus.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10- Image processing apparatus 14- Control part 14a- Data storage part 14b- Image composition process part 14c- Apparatus abnormality detection process part 21- Image input apparatus 22- Image output apparatus 23a- Display part 60- Cylindrical member

Claims (7)

Detects abnormal states of an image input device connected to the input side for reading image data and an image output device connected to the output side for outputting an image based on the image processed image data Image processing apparatus,
An image composition processing unit that combines the read data of the device abnormality detection chart input from the image input device and the teacher data of the device abnormality detection chart stored in advance in the data storage unit to form a composite output image;
The composite output image output from the image output device is read again by the image input device, and based on the read result, a device abnormality detection processing unit that detects an abnormal state of the image input device and the image output device;
An image processing apparatus comprising: a display unit that notifies an abnormal state of the image input device and the image output device detected by the device abnormality detection processing unit.   In the apparatus abnormality detection chart, the same pattern image is arranged at a plurality of positions, and the image composition processing unit uses teacher data of the apparatus abnormality detection chart stored in the data storage unit as the image input device. The image processing apparatus according to claim 1, wherein the image processing apparatus combines the read data corresponding to the pattern image of the apparatus abnormality detection chart read by the method in the vicinity.   A control unit for determining an abnormal state of the image input device or the image output device based on the number of times the image data is read by the image input device or the number of times the image data is output by the image output device. The image processing apparatus according to claim 1, wherein the image processing apparatus is an image processing apparatus.   An image forming apparatus comprising the image processing apparatus according to claim 1.   The image forming apparatus according to claim 4, wherein the apparatus abnormality detection chart is provided near a white reference plate that performs shading correction.   The image forming apparatus according to claim 5, wherein the apparatus abnormality detection chart is formed on a cylindrical member. A synthesis step of synthesizing teacher data of the apparatus abnormality detection chart stored in the data storage unit in proximity to a plurality of pattern images of the reference chart read by the image input device;
A detection step of reading again the composite output image output from the image output device based on the combined image data by the image input device, and detecting abnormal states of the image input device and the image output device based on the read result; ,
And an informing step of informing the detected abnormal state.

Images