JPS63193673A - Automatic color picture checker - Google Patents

Abstract

PURPOSE:To obtain the titled checker of high value of practicality by obtaining the amount of the shifting in coloring of a color picture by using a data obtained from an optical density measurement device. CONSTITUTION:The measurement device 76 sequentially scanns a pattern in accordance with a color density detection format, and thus executes the sequential check of density-data strings in three colors. The result of this checking is transmitted to an arithmetic operation device 78 via a picture density buffer. But in a state of data as it is, the identification of the positions of respective colors is difficult, the device 78 converts respective colors R, G, B to color elements C, M, Y, to store respective profiles of cyan, magenta, and yellow. The formula for this conversion is represented as an equation I. The colors R, G, B are stored in a ROM in a form of a matrix expression consisting of three-color-decomposition densities of red, green, and blue and of a coefficient matrix shown by coefficients a11-a39, and generally regarded as the same. As a result, the color-shift amount of an image can be accurately obtained.

Description

DETAILED DESCRIPTION OF THE INVENTION "Field of Industrial Application" The present invention is an automatic color image processing system capable of inspecting the quality of color images in particular among the quality of images reproduced by, for example, facsimile machines, printing machines, or copying machines. The present invention relates to an inspection device, and particularly to an automatic color image inspection device that can determine the amount of color shift as one of the inspection items for color reproducibility.

"Prior Art" In offices, various information devices output graphic information such as text and images. A typical example of this is a copying machine that copies original documents. A copying machine forms an electrostatic latent image on a photosensitive drum, reads image information using an image sensor such as a CCD, and develops the image using a developing device, or uses a recording head such as a thermal head. Images are reproduced on paper.

When designing such information devices or shipping these information devices from factories, reproduced images are inspected. There are two types of such tests:

(i) Inspection of whether the information equipment operates normally according to predetermined procedures and reproduces images.

(11) Inspection of whether the quality of the reproduced image is acceptable in the market or within the specifications established at the time of equipment design.

For example, in the case of a copying machine, the inspection items include the position of the image relative to the copied paper, the density of the image relative to the original, and the resolution. The inspector inspects using scales, magnifying lenses, measuring instruments, or visually to check whether each process of the copying machine is working properly and that there are no errors in image reading or toner image transfer position. Determine whether or not.

In the case of copying machines, the latter inspection is also performed by an inspector. That is, the quality of the image is determined by the inspector directly comparing the image copied on the paper with the sample.

In conventional inspections as described above, the inspector is the main person, so
There were the following problems.

(1) Measured values or test results changed due to different testers.

(Even for the same tester, the measured values or test results may change due to familiarity with the test or the psychological influence of the previous test subject.

(iii) Measured values or test results also changed due to physical or mental fatigue of the examiner.

In order to avoid such drawbacks, an image inspection device that automatically performs inspection has been proposed (Japanese Patent Application Laid-Open No. 1034-1989).
No. 5 and Japanese Patent Application Laid-open No. 10346/1983).

This image inspection apparatus is provided with a table on which an object to be inspected having an image is positioned and placed.

The object to be inspected is set on this table, and the detection section is placed opposite to it. Then, the detection data output from this detection section is supplied to a data processing section, and the position, density, and resolution of the image are digitized based on the detection data.

However, in this proposed image inspection apparatus, since the detection section sequentially detects several predetermined patterns, only standardized inspections can be performed. For example, it is assumed that for a certain information device to be inspected, only density inspection is required, and for other information devices, resolution inspection is required at many locations of the object to be inspected. Since the proposed imaging apparatus performs a standardized inspection on all objects to be inspected, the former type of information equipment is subject to unnecessary inspections and inspection time is wasted. Furthermore, with the latter type of information equipment, there was a risk that the inspection points would be insufficient.

Of course, the latter inspection can be fulfilled by incorporating a program that performs many inspections at many locations on the object to be inspected, but such image inspection equipment requires simple inspection. There is a problem in that the object to be inspected is inspected more inefficiently.

I have explained general image inspection above, but recently, color copying or color recording has become common.
Image inspection of these items is also required. When the object to be inspected is a color image, colors outside a predetermined color amount are reproduced by mixing several colors.

In other words, when reproducing a color image using a device such as a xerographic copying machine (electrostatic copying machine) or a thermal transfer type recording device, generally, when reproducing a color image using a device such as a xerographic copying machine (electrostatic copying machine) or a thermal transfer type recording device, the three color materials of cyan, magenta, and yellow are used, or ink ( An image is formed using four color materials including black.

FIG. 26 is for explaining this principle. After image information on a document (not shown) is selectively absorbed by a filter (not shown), the photoreceptor drum 301 receives light from a slit N in the direction indicated by an arrow 302 . Although not shown, a charge corotron (charger) is arranged around the photosensitive drum 301, and an electrostatic latent image is formed by this exposure operation. The formed electrostatic latent image is developed by a developing device 303 to form a toner image.

This toner image is transferred to a recording paper 305 wrapped around a transfer drum 304 disposed close to the photoreceptor drum 301.
transcribed into. For this purpose, a transfer device 306 is used.

When performing color recording, the above-mentioned filters are sequentially set to desired ones, color materials are selected correspondingly, and toner images of one color are transferred onto the recording paper 305.

When color reproduction is performed by sequentially overlapping color materials in this manner, the amount of color shift becomes a problem as one of the factors that influences color reproducibility. In other words, if color misregistration occurs during the process of reproducing each color, the quality of the image will deteriorate significantly, especially in line drawings and text areas.

For example, blue characters are reproduced by a subtractive color mixture of magenta and cyan, but if the positions of these two colors shift during the recording process, the characters become blurred and extremely difficult to read. Further, in the case of a picture image, there is a problem in that the effect of positional shift appears on the picture itself to be reproduced, making it impossible to perform accurate color reproduction.

Therefore, the amount of color misregistration has been conventionally measured for reproduced images. Conventionally, the amount of color shift has been measured using a method in which a color image of the object to be inspected is enlarged and projected using a microscope, and an inspector directly reads the color shift.

As described above, when the inspector himself inspects images visually, there is a problem in that inspection errors are likely to occur, as described above.

``Problems to be Solved by the Invention'' Therefore, in addition to detecting black and white density, the image inspection device proposed above detects the density of the three primary colors, thereby making it possible to perform unique inspections of color images such as color shift. It is considered.

However, when measuring color shift by simply detecting the density of each of the three colors, the influence of unnecessary absorption of the coloring materials used appears, making it impossible to accurately determine the recording position of each coloring material.

For example, the yellow coloring material actually used includes not only yellow but also magenta and cyan to a small extent. Therefore, when trying to detect the decomposed concentration of blue to detect yellow, the two colors magenta and cyan contained at the same time in the coloring material have unnecessary absorption in the blue region, and the difference between magenta and cyan The parts will also be detected at the same time. As a result, it becomes impossible to ideally separate only the yellow color portion from the other 02 colors.

In this way, simply extending the proposed image inspection device described above for three colors will not be able to completely separate the cyan, magenta, and yellow images, and the relative error in the recording position of each color material will increase. The inspection of the amount of color misregistration will be incomplete.

SUMMARY OF THE INVENTION Therefore, it is an object of the present invention to provide an automatic color image inspection device that can freely set the inspection contents according to the object to be inspected and can accurately inspect the amount of color shift.

"Means for Solving Problems" The present invention includes: (11) an object holding means for holding an object to be inspected having an image formed of an inspection pattern of (i>1); (iii) a supply means for supplying the object to be inspected to the object holding means; and (iii) an inspection pattern selection means for selecting a pattern to be inspected from among the objects to be inspected held by the object holding means. and,(
iv) an optical density measuring means for reading an image and detecting the optical density of that part as the density of an achromatic color or a predetermined chromatic color; and (v) movement for moving this optical density measuring means to an image reading position. and (vi) color shift amount detection means for determining the amount of color shift in a color image using the data obtained from the optical density measuring means.

According to the present invention, since the optical density of the necessary color material is measured and the amount of color shift is determined, it is possible to accurately understand the amount of color shift, and inspection items can be set freely without changing the chart. Therefore, unnecessary inspections can be omitted.

"Example" The present invention will be described in detail with reference to Examples below.

Overview of the Apparatus FIG. 1 shows the appearance of an automatic color image inspection apparatus according to an embodiment of the present invention. This automatic color image inspection apparatus is composed of an inspection section 1, a computer section 2, and a printer section 3.

Of these, the inspection section 1 is a section that continuously inspects copy paper 4 as an object to be inspected. The inspection section 1 includes a supply tray 5 and a discharge tray 6. When inspecting a copying machine, a desired chart is set in the copying machine, and copy sheets 4 obtained thereby are stacked on a supply tray 5 as shown. The copy sheets 4 are fed into a cylindrical chart holder 8 one by one by a feed roller 7.

The surface of the chart holder 8 is covered with an insulating film, and the copy paper 4 is electrostatically attracted to this surface by a charging operation by an electrostatic charge supply device (not shown). In this state, an image inspection of the copy paper 4 as the object to be inspected is performed.

The copy paper 4 that has been inspected is peeled off from the chart holder 8 by a peeling mechanism that will be described later. The peeled copy sheets 4 are sequentially discharged onto the discharge tray 6.

An operation display panel 9 is arranged in this inspection section 1.
A power switch 11, a movement key 12 used for manually specifying the pattern of the object to be inspected, and a display 13 for displaying concentration data as a measurement result are arranged here.

The computer section 2 can be configured by a commercially available computer, and performs identification of inspection items, processing of data such as concentration data, and various displays. This part includes a keyboard 15 as a manual means, a CRT 16 as a display means,
It is equipped with a disk drive device 17 etc. for driving a floppy disk, and a CPU (central processing unit) etc. for data processing is mounted inside.

The printer section 3 is a section that outputs test results and the like, and in this embodiment a dot printer is used.

FIG. 2 shows an outline of the inspection section of this automatic color image inspection apparatus. A shaft 21 that rotates the feed roller 7 of the inspection section 1 receives driving force from a feed roller drive morph 23 via a chain 22. The supply tray 5 is adapted to be given a force to move upward by the excitation of a solenoid (not shown).
During this excitation, the top layer surface of the copy paper 4 as the object to be inspected comes into contact with the feed roller 21 . When the feed roller 21 rotates by a predetermined amount in this state, only one sheet of copy paper 4 in the uppermost layer is fed out. Prior to this feeding, the surface of the chart holder 8 is uniformly charged by a charging mechanism (not shown).

As a result, the fed-out copy paper 4 is electrostatically attracted to the chart holding section 8. The rotation of the cylindrical chart holder 8 in the circumferential direction (Y-axis direction) is performed by the driving force of a chart holder drive motor 26 connected to a decelerator 25 .

In this embodiment, the outer diameter of the chart holder 8 is 162 mm in diameter.
77 mm, the step angle of the chart holder drive moke 26 is 1.8 degrees, and the reduction ratio of the reducer 25 is 1/256.
And so. As a result, the chart holder driving moke 26 is driven by one step, and the surface of the chart holder 8 is moved by 10 μm in the Y-axis direction. Control of the rotational position of the chart holder 8, that is, the position control in the Y-axis direction, is performed using a point detected by a photo sensor 28 in a notch 27 provided at the end of the cylinder as a reference point.

A ball screw 32 rotated by an X-axis stepping motor 31 is arranged above the chart holder 8 so that its axis is parallel to the rotation axis of the cylindrical chart holder 8. The Y-axis direction movement hole 34 of the optical head mounting block 33 is threadedly engaged with the ball screw 32. Therefore, when the X-axis stepping moke 31 rotates, it moves in the X-axis direction while being guided by two guide bars 35 and 36 arranged parallel to the ball screw 32.

In this embodiment, the pitch of the ball screw 32 is 5 mm. The step angle of the X-axis stepping moke 31 is set to 0,
With the configuration set at 72 degrees, the optical head mounting block 33 moves by 10 μm in the X-axis direction in one step of driving. Two limit switches 37 and 38 are arranged in the X-axis direction to limit the movement range of the optical head mounting block 33.

A density detection section 41, which will be described next, is attached to the optical head attachment block 33. A magnifying eyepiece 42 is also attached to the concentration measuring unit 41, and the position of the image captured by the objective lens 43 can be checked during focus adjustment and especially during manual operation.

In the automatic color image inspection apparatus of this embodiment, the density detection section 41 is moved at a pitch of 10 μm in both the X-axis direction and the Y-axis direction, but it may be set at a finer pitch than this. In this case, for example, the pitch of the ball screw 32 in the X-axis direction and the reduction ratio in the Y-axis direction may be made finer.

FIG. 3 shows the optical structure of the optical head.

The concentration detection section 41 includes a tungsten lamp 51 for illumination. The light emitted from the tungsten lamp 51 is focused by the illumination lens 52 and
The measurement site 53 is illuminated. The reflected light from the measurement site 53 is collected by an objective lens 43 and split into two directions by a prism 54 equipped with a semi-transparent mirror (beam brick).

One of the split lights is reflected by a mirror 55 and passes through a measurement field of view adjustment mechanism 56 . Here, the measurement field of view adjustment mechanism 56 has an aperture plate 59 and a field lens 61 disposed in the optical path.

The aperture plate 59 is a plate provided with a rectangular opening as shown in FIG. In this opening area of 50 μm x 2500 μm, an image of the measurement site on the copy paper is magnified five times and formed. The light beam reflected from a rectangular area (FIG. 4) with a short side of 10 μm and a long side of 500 μm on the chart, that is, in this embodiment, on the copy paper 4, passes through this opening to the photomultiplier tube 58 described above. It will be injected into. The direction of the opening of the aperture plate 59 can be set to an arbitrary angle by one displacement by the aperture plate rotating step motor 2.

The light that has passed through the measurement field of view adjustment mechanism 56 reaches the filter unit 66 after the infrared wavelength component is cut by the color correction filter 57 . The filter unit 66 has seven types of color filters 68-1 to 68- around the cylinder 67.
7 and one type of light shielding filter 69 are arranged at 45 degree intervals. rotaryn lenoid 7
0 transmits driving force to the cylinder 67 via gears, ratchets, and stoppers (not shown), rotates the cylinder 67 with 45 degrees as one step, and sets the filter unit 66 at a predetermined position. In this state, the color filters 68-1 to 68
-7, the light is incident on the photomultiplier tube 58, and the optical density is measured.

By the way, the light-shielding filter 69, which plays the role of completely blocking the incidence of light beams to the photomultiplier tube 58, is prepared for the initial setting of the filter unit 66. That is, at the point in time when the cylinder 67 rotates and the light shielding filter 69 is placed opposite the color correction filter 57, no light rays enter the photomultiplier tube 58. This state becomes the initial position of the filter unit 66, and a desired color filter is set for selective absorption of light by performing predetermined step operations. Further, the signal level is also adjusted based on the output of the photomultiplier tube 58 in the initial state in which the light shielding filter 69 is disposed opposite the color correction filter 57.

Now, as the seven types of color filters 68-1 to 68-7, the following filters are used.

Color filter 68-1... Red filter WRATTEN #25 manufactured by Kodak Corporation Color filter 68-2... Green filter WRATTBN t58 manufactured by Kodak Corporation Color filter 68-3... Blue filter WRATTEN j 47 colors manufactured by Kodak Corporation Filter 68-4... B/W Filter manufactured by Fuji Film Co., Ltd. SP 18 Color filter 68-5... Red filter KL-63 manufactured by Toshiba Glass Co., Ltd. Color filter 68-6... Green filter manufactured by Toshiba Glass Co., Ltd. Color filter 68-7... Blue filter KL-44 manufactured by Toshiba Glass Co., Ltd. Here, the color filter 68-4 is a visual filter, which converts the output of the photomultiplier tube 58 into human visual perception. This is to change the wavelength characteristics to match. Therefore, this filter 68-4 is inserted before the photomultiplier tube 58 when measuring optical density in black and white.

In addition, this filter unit 66 includes two sets of color separation filters 68-1 to 68-3, respectively, for separating two colors.
68-5 to 68-7 are available. One of the filters 68-1 to 68-3 is for a wide band, and the other filter 68-5 to 68-7 is for a narrow band. These can be used selectively depending on the inspection item, and depending on the device, only one set of filters and visual filters may be provided.

The other light branched by the prism 54 has its traveling direction changed by the roof-shaped prism 64, and forms an erect image on the observation screen 65.

The image of the measurement site 53 thus formed can be enlarged and observed using the magnifying eyepiece 42.

Circuit Configuration of the Device (Principle Configuration of the Device) Before specifically explaining the device, the fundamental configuration of the circuit will be explained.

The following FIG. 5 shows an outline of the circuit configuration of the automatic color image inspection apparatus. This device is equipped with an external signal manual means 72 for instructing desired inspection items.

The measurement control means 73 is configured to set the position and type of the pattern to be inspected and the inspection processing procedure according to the inspection item indicated by the external signal manual means 72. The pattern information storage means 74 stores the pattern to be inspected within the object to be inspected, and the processing procedure storage means 75 stores the inspection processing procedure for the pattern to be inspected. The measurement means 76 scans the surface of the object to be inspected under the control of the measurement control means 73 and detects the image density. The arithmetic processing means 78 performs arithmetic processing on the data obtained from the measuring means 76 according to a processing procedure instructed by the measurement control means 73. The test results obtained thereby are outputted by the output means 83.

The output means 83 is typically the printer section 3 shown in FIG. 1, but the test results can also be displayed on the CRT screen of the combinator section 2.

The operation of this automatic color image inspection device will be explained in more detail. In the color image automatic inspection apparatus, the type of the object to be inspected and the inspection items are encoded by the external signal input means 72 during inspection. A chart code 84 for identifying the chart copied to the object to be inspected and an inspection item code 85 representing the inspection item are sent to the measurement control means 73. The measurement control means 73 sends the chart code 84 to the pattern information storage means 74. The pattern information storage means 74 outputs a pattern code 86 representing the pattern to be inspected included in the chart represented by the chart code 84 and a representative point position 87 representing a representative position of the pattern to be inspected. Pattern code 86 is
It also includes information representing the color of each pattern. The pattern code 86 is sent to the processing procedure storage means 75 together with the inspection item code 85, and the image density detection format 88 corresponding to the inspection item and pattern to be inspected and the arithmetic processing code 89 representing the arithmetic processing procedure are sent to the measurement control means 73. It will be loaded.

At this stage, ■ the type of pattern to be inspected required for inspection, ■
Positional information on where the pattern exists on the copy paper, information on (1) an image density detection method for that pattern, and (2) information about a method for calculating and processing the results corresponding to the inspection items are stored in a code in the measurement control means 73. It will be set in a formatted state.

Among these pieces of information, the representative point position 87 representing the coordinates of the position where the pattern exists and the image density detection format 8
8 is sent to measuring means 76.

The measuring means 76 moves to the representative point position 87 instructed by the measurement controlling means 73, and reads the image density detection format 8.
8, the image density to be measured is detected. The detection result is outputted to the arithmetic processing means 78 as a concentration data string 91. At the end of the concentration data string 91, an end signal 9
2 is added to instruct the start of arithmetic processing.

Upon receiving the end signal 92, the arithmetic processing means 78 executes the arithmetic processing code 89 previously supplied from the measurement control means 73.
Based on this, the corresponding calculation processing routine is selected. This arithmetic processing routine is then loaded into the internal arithmetic processing routine memory area. In the arithmetic processing means 78, the density data string 91 described above is stored in a density data string memory area. The arithmetic processing means 78 processes this concentration data string 91 using the routine loaded into the arithmetic processing routine memory area, and outputs the results according to the test items as the test results 9.
3 and is supplied to the output means 83.

The output means 83 will output this content.

The image density detection and density data arithmetic processing operations described above are sequentially performed for all patterns to be inspected that are preset in the measurement control means 73.

The arithmetic processing means 78 not only performs arithmetic processing on each pattern, but also performs statistical processing of the arithmetic processing results corresponding to all set patterns to be inspected. In this way, the inspection results for the object to be inspected are obtained.

(Configuration of external signal input means) Next, the configuration of the external signal input means will be explained using FIG. 6.

The external signal input means 72 includes encoding means 101 . The chart name 102 and test items 103 manually entered by the operator are encoded by this encoding means 101. When the code type discrimination means 104 receives the coded information, it separates it into a chart code and a test item code. Then, it is output as a chart code 84 and a test item code 85 via the code control unit 105.

(Structure of Pattern Information Storage Means) FIG. 7 shows the structure of the pattern information storage means. The pattern information storage means 74 supplies the chart code 84 to the pattern information storage position retrieval means 107. The pattern information storage position search means 107 searches for the position of the pattern to be inspected, and searches the pattern information storage unit 1.
08 as a pointer 109.

FIG. 8 shows the contents of the pattern information storage section. The pattern information storage unit 108 stores as data the pattern codes of all the objects to be inspected in the corresponding chart using the chart code as a key, and the representative point positions of the respective patterns represented by these pattern codes. . In this figure, for example, three pattern codes a1a and b are prepared for the chart code ``x x x''. This means that two types of patterns specified by pattern code aSb are displayed on the chart specified by this chart code "x x x", and the coordinates of the three patterns are representative. It is as shown in the dot position. Note that the pattern codes a and b are coded taking into account the color represented by the pattern.

Here, the pattern represented by the pattern code a is, for example, the pattern for resolution measurement in the electrophotographic society test chart "No.l-R1975", for example with respect to inspection items such as the optical density of one color and the reproducibility of fine lines. (not shown) is used. In this test chart, this pattern is placed in the upper left and lower right parts.

Furthermore, the pattern represented by pattern code b is a pattern for density measurement in this electrophotographic society test chart. In this test chart, various density samples are displayed in a row at the bottom, forming a pattern for density measurement. In this way, test charts expressed in black and white are often used in color inspections, but if the reproducibility of mixed colors itself is listed as an inspection item, then the The chart will be used.

The pattern information output means 110 includes the pattern information storage section 1
08 is read out from the position indicated by the pointer 109 output by the pattern information storage position search means 107. The read content is the pointer 109
All pattern codes and their representative point positions for one chart code indicated by . The pattern code 86 and its corresponding combination of representative point positions 87 are sequentially read out under the control of the measurement control means 73 shown in FIG. 5 and sent into the measurement control means 73.

(Configuration of processing procedure storage means) Next, the contents of the processing procedure storage means 75 are shown in FIG.

The processing procedure storage means 75 is supplied with an inspection item code 85 and a pattern code 86. Among these, the inspection item code 85 is detected by the inspection item code detection means 11.
2, and the pattern code 86 is detected by the pattern detection means 113. The detection result of the test item code detection means 112 is outputted as a first pointer 114 to the processing code storage means 115, and the detection result of the pattern detection means 113 is outputted as the second pointer 115 to the processing code storage means 116.

FIG. 10 shows the contents of the processing code storage means. The processing code storage means 116 stores (i) an arithmetic processing code, (11) a pattern code, and (iii) an image density detection code for each inspection item code. The first pointer 114 output from the above-mentioned test item code detection means 112 specifies the test item code for specifying the test item. Then, the second pointer 115 output from the pattern detection means 113 selects the arithmetic processing code in that inspection item code. In the example shown in FIG.
For the pattern specified by ``, image density detection and arithmetic processing code ``A'' specified by image density detection code ``A'' are performed.
It can be seen that the arithmetic processing specified by ” is performed.2
The code contents specified by the two pointers 114 and 115 are temporarily stored in a storage area in the processing code storage means 116.

Returning to FIG. 9, the explanation will be continued. Inspection procedure search means 11
7 reads out the image density detection code 118 stored in the processing code storage means 116.

In the example of FIG. 10 described above, the image density detection code 118
Based on this, the third pointer 119 as address information is stored in the inspection procedure storage means 12.
Output for 1.

FIG. 11 shows the contents of the inspection procedure storage means. The inspection procedure storage means 121 stores image density detection formats for each image density detection code. There are multiple sets of image density detection formats, each of which is stored in block units. The contents of these block units are, for example, (1) measurement start position, (11) direction, (
iii) interval, (1) total number of points, (v) slit direction, and (vi) filter set.

Here, (1) the measurement start position is shown as a position as a representative point. As described above, the representative point is indicated by the coordinates that serve as a reference for each pattern, whereas the counter representative point is the difference between the coordinate value of the starting position and the coordinate value of the representative point when scanning the pattern.

The (11) direction is a scanning direction, and there are two types of directions: an X-axis direction and a Y-axis direction. (iii) The interval is the sampling interval for density detection, and (iv) the total number of points is the total number of sampled data. (V)
The slit direction refers to the direction of the opening of the aperture plate 59 shown in FIG. In this embodiment, the opening is initially set to a position parallel to the X-axis or rotated by 90 degrees from the X-axis. Further, this opening is set at a desired rotational position in one-degree increments during measurement. By setting this angle, it is possible to effectively measure diagonal lines, etc.

Finally, (vi) filter set is a signal for selecting the light shielding filter 69 in the filter unit 66 shown in FIG. 3 or the seven types of color filters 68-1 to 68-7. This signal selects one or more of the red, green, and blue color filters and the white/black filter. When a plurality of filters are selected by the signal regarding this filter set, each of the data (i) to (V) described above is supplied to the measurement unit 76 in a predetermined order the number of times through the code output means 122. be done. Measuring means 7
In step 6, the filter unit 66 is set at the desired filter position in response to this, and the operations determined in steps (i) to (v) are repeated.

The third pointer 119 specifies the image density detection code. In the example shown in FIG. 11, the image density detection code "Pi" is selected.The first code output means 122 reads out the image density detection format 88 selected by the third pointer 119, and reads out the image density detection format 88 shown in FIG. Measurement control means 7
3 to the measuring means 76 under the control of No. 3. On the other hand, the second code output means 123
The arithmetic processing code 89 is read from 6 and is similarly supplied to the arithmetic processing means 78 under the control of the measurement control means 73.

(Configuration of measurement means) The following FIG. 12 shows the contents of the measuring means.

The measurement means 76 can be roughly divided into three parts: (i>image density detection section, (11) detection aperture control section, and (iii) moving section.In the measurement means 76, the measurement control means 73 The scanner moves over the object to be inspected (in this embodiment, the copy paper 4 on which the chart has been copied) based on the image density detection format 88 supplied from the printer, and detects the image density in a predetermined format. That is, the image density detection format 88 (see FIG. 11) supplied from the measurement control means 73 is supplied to the data sampling control section 131, and based on the format 88 decoded here, the image density detection section and the detection aperture control section , and the moving part will be controlled accordingly.

By the way, the data sampling control section 131 controls the light receiving means 1 based on the data 133 obtained from the drive control section 132.
The current location of 33 is known. Therefore, the data sampling control section 131 obtains the amount by which the light receiving means 133 should be moved by comparing it with the measurement start position obtained from the image density detection format 88. Data 134 regarding the determined movement amount etc. is sent to the drive control section 132.

The drive control unit 132 determines the amount of movement in the X-axis direction and the amount of movement in the Y-axis direction based on the data 134, and outputs an X-axis direction drive signal 135 and a Y-axis direction drive signal 136 with the corresponding number of pulses. The X-axis direction drive signal 135 is supplied to the X-axis stepping motor 31, and the Y-axis direction drive signal 136 is supplied to the chart holder drive motor 26 (both shown in FIG. 2), which also serves as a stepping motor.

As already explained, the concentration detection section 41 (FIG. 2) is moved in the X-axis direction by the X-axis stepping motor 31.

Further, the drum-shaped chart holder 8 is rotated in the Y-axis direction by the drive of the chart holder drive motor 26, and the light receiving means 133 consisting of the photomultiplier tube 58 and the like is moved to a desired measurement position.

The data sampling control unit 131 then determines the image density detection direction, sampling interval, total number of sampling points,
Decoding slit direction and filter set. First, the aperture direction is compared with the current aperture direction, and an angle signal 138 representing the comparison result with the designated angle is output. Angle signal 138 is provided to an angle signal generator 139. The angle signal generator 139 supplies a control signal 141 to the aperture plate rotation step motor 62 (see FIG. 3),
The aperture plate 61 is rotated by a desired angle.

Next, the data sampling control unit 131 compares the filter position indicated by the filter set with the currently set filter position, and outputs a filter switching signal 140 for setting the filter to the designated filter position. Filter switching signal 140 is provided to switching pulse generator 142 .

The switching pulse generator 142 supplies a pulse signal 150 to the filter switching drive filter solenoid 70, and filters 69.68-1 to 69.68-1 in the filter unit 66.
A desired one from 68 to 7 is inserted into the optical path.

When the setting of the light receiving means 133 is completed as described above,
The data sampling control section 131 sets the total number of points obtained from the image density detection format 88 in a counter (not shown) within the control section. Then, the image density detection direction and the sampling interval are outputted to the drive control section 132 as data 134 for cert.

The drive control section 132 moves the concentration detection section 41 or the chart holding section 8 by a predetermined amount in accordance with the instructed detection direction.

By the way, the detection output 14 output from the light receiving means 133
3 is amplified by an amplifier 144 in the image density detection section, and its output 145 is logarithmically converted by a logarithmic converter 146. Conversion output 147 is provided to A/D converter 148. A/D
The converter 148 is supplied with an A/D signal 151 for specifying the time at which A/D conversion is performed by the A/D signal generator 149. A/D signal signal generator section 1
49-A/A supplied from the data sampling control section 131
The A/D signal 151 is generated by the D start signal 152, and the output of a counter (not shown) in the data sampling control section 131 is used as the A/D start signal 152.

That is, this counter is preset with a count value corresponding to the measurement start position, and the light receiving means 1
As 33 begins to move, the count increases. When the count value of the counter reaches the preset value, the A/D
A start signal 152 will be output. When the A/D conversion is completed, the A/D signal generation section 149 completion signal 153
Output. When the data sampling control section 131 receives the end signal 153, it manages the above-mentioned counter and instructs the drive control section 132 to move the light receiving means 133, and if necessary, starts the next A/D at a predetermined timing. A D start signal 152 will be output. In this way,
It becomes possible to manage the sampling interval of concentration data.

On the other hand, when A/D conversion is instructed by the A/D signal 151, the A/D converter 148 converts the conversion output 147 from analog to digital. The density data 154 after conversion is
The images are sequentially stored in the image density buffer 155. The stored concentration data 154 is supplied to the arithmetic processing means 78 as a concentration data string 91, and is subjected to arithmetic processing.

Now, when the sampling of the concentration data progresses and the built-in counter counts a certain value as the final value, the data sampling control section 131 outputs an end signal 156 to the measurement control means 73.

When the measurement control means 73 receives this end signal 156,
Data regarding the next block is supplied to the data sampling control section 131 as an image density detection format 88. In this way, concentration data is collected for each part to be measured.

(Configuration of arithmetic processing means) FIG. 13 shows the configuration of the arithmetic processing means. The calculation processing means 78 includes a calculation control section 161.

The calculation control unit 161 is supplied with the calculation processing code 89 from the measurement control means 73 .

The arithmetic processing code 89 is a code representing the arithmetic processing procedure. The arithmetic control unit 161 decodes the arithmetic processing code 89 and supplies the result as an arithmetic processing code 162 to the arithmetic processing address search means 163.

The arithmetic processing address search means 163 uses this arithmetic processing code 162 to search the arithmetic processing storage section 164.

The arithmetic processing storage unit 164 stores arithmetic processing data groups necessary for various tests. When the arithmetic processing address search means 163 moves the pointer 165 to the start address of the corresponding memory area by searching, the arithmetic processing address search means 163
A termination signal 166 is sent to 61. After receiving the end signal 166, the arithmetic control unit 161 generates a start signal 167,
Loader scooter 168 is supplied.

When loader scooter 168 receives activation signal 167, it generates load signal 169.171.

(i) Pointer 1 in the arithmetic processing storage unit 164
A series of arithmetic processing contents 172 shown in 65 and (ii)
The density data string 91 stored in the image density buffer 155 (see FIG. 12) of the measuring means is transferred to the working area 1.
74. After loading, loader scooter 1
68 supplies a start signal 175 to the working area 174, activates it, and transfers control to the working area 174 itself.

Along with this, the working area 174 contains the concentration data string 91.
The desired arithmetic processing is performed on the data. The result is stored in the calculation result output buffer 177 as the calculation result 176. The output means 83 shown in FIG. 5 manually outputs this stored content as an inspection result 93 and visualizes it.

Details of optical density measurement In this automatic color image inspection device, first the copy paper 4 is held in the chart holding section 8, and after its positioning,
Perform density measurements for individual patterns. Therefore, next, positioning with respect to the copy paper 4 will be explained, and then the density measurement work and the color shift amount measurement work for each pattern will be explained.

(Positioning for each measurement site) In order to measure an image from the copy paper on which the chart has been copied, the objective lens 43 of the optical head must correctly capture the target measurement site. By the way, if the density detection unit 41 side is unilaterally set to a predetermined coordinate position, the desired position on the copy paper 4 is ±5
An error of about mm occurs. This is due to the following reasons.

(i) Misalignment that occurs when a chart is copied using a copying machine.

In addition to alignment errors (registration misalignment) between the copy paper 4 and the photosensitive drum of the copying machine and magnification setting errors, there are also Contains errors due to skew (rotation).

(ii) Misalignment when setting the chart in the chart holder 8.

This is a deviation that occurs when the copy paper 4 sent out from the supply tray 5 is set in the chart holding unit 8, and is caused by an error in the setting of the supply tray 5 or a misalignment in position alignment when the copy paper 4 is sent out. do.

In this embodiment, the target position can be reached with an accuracy of ±0.5 mm. For this purpose, as shown in FIG. 14, a chart 191 used in a color image automatic inspection system has, for example, position detection patterns 19 at three locations.
2 to 194 were placed. These position detection patterns 1
The coordinates 92 to 194 are known by the color image automatic inspection device for each type of chart. The coordinate values of these patterns 192 to 194 on the chart are called actual coordinate values, and these are (X+, Yl, X2, Y
2, X3. Y3).

The device calculates these real coordinate values (X+, Y+, X2
, Y2, X3 +Y3) to scan the surrounding copy paper 4 and detect changes in image density to detect these positions on the copy paper 4. These position detection patterns 192 to 1 on the copy paper 4
The coordinate values of 94 are (X+, '11, X2 +
y2, X3 + V3). Both coordinate systems (X, Y
), (*, y), the coordinates (XO
, yo) is calculated, and this coordinate value (Xo, Yo) is used to cause the density detection section 41 to reach the target image area.

The position detection pattern does not need to be placed in three places on the copy paper; for example, by placing it in two places,
It is possible to understand the rotation and positional shift of the Further, by arranging more points, it is possible to grasp the elongation of each part of the copy paper 4, and it is possible to further improve the accuracy of reaching the measurement site.

(Pattern Scanning) FIG. 15 shows a certain pattern for density measurement. In this pattern 221, a point 223 is a representative point, and a point 224 is a detection start point in the X-axis direction. The detection starting point 224 is expressed as a relative coordinate value with respect to the representative point 223.

When scanning this pattern 221 also in the Y-axis direction,
A detection starting point different from point 224 may be provided for this purpose.

As described above, in the automatic color image inspection apparatus of this embodiment, a rectangular area of 10 μm x 5 Q 3 μm on the copy paper is read at one time. The reading mode is determined by the image density detection format shown in FIG. In other words, in this example, point 224 is the measurement start position, and the measurement direction is
The direction is axial. The measurement interval or sampling width is
It is determined by the purpose of measurement, etc. In the color image automatic inspection apparatus of this embodiment, the opening is a rectangular area of 10 μm x 500 μm, so the density detection area for one time in the X-axis direction is 10 μm. Therefore, when scanning the copy paper 4 all over in the X-axis direction, the measurement interval is 10 μm.

FIG. 16 shows the scanning situation in this case. By setting the sampling width to be smaller than the luminous resolution, it is possible to extract data representing a fine image state that almost matches the human visual perception. This will be explained later as an effect of the automatic color image inspection apparatus of this embodiment.

Of course, measurement does not necessarily require sampling at the same width as the short side of the rectangular area in which optical density is to be detected, and can be freely set using the image density detection format. Therefore, depending on the inspection item, it is possible to scan the image roughly.

When scanning in the Y-axis direction, the slit direction is normally set in the X-axis direction. As a result, in the case of this embodiment, it is possible to sample an image with a width of 10 μm.

As already explained, in this embodiment, the concentration detection section 41 is controlled by stepping the X-axis stepping motor 31 or the chart holding section drive motor 26 one step at a time.
can be moved in the X-axis direction or Y-axis direction in units of 10 μm.

(Inspection of color shift amount) Now, the pattern 22 as the object to be inspected shown in FIG.
Assume that 1 is a black pattern created by sequentially overlapping cyan, magenta, and yellow color materials. At this time, an enlarged view of the three black lines within the circle indicated by the broken line in FIG. 15 is as shown in FIG. 17 as an example. The amount of color shift to be inspected in FIG. 17 is d, ~d3, respectively.
becomes.

That is, cyan coloring material 225, magenta coloring material 226,
The maximum relative distance between the center positions of the lines of the yellow coloring material 227 is the color shift amount d.

In the automatic color image inspection apparatus of this embodiment, in order to perform such a color shift amount inspection, the color shift amount inspection is coded in the inspection item code AA shown in FIG. Coded as a in the code. Furthermore, three color filters are coded as a filter set in the image density detection format corresponding to the image density detection code "I" shown in FIG. 11.As a result, in this color shift amount inspection, The image density detection operation is repeated a total of three times by the same operation while sequentially switching to the designated three color filters.

This will be explained in detail with reference to a flowchart for inspecting the amount of color shift shown in FIG.

First, the measuring means 76 shown in FIGS. 5 and 12 sequentially scans the backplane 221 according to the image density detection format, and sequentially inspects the density data string for the three colors.
Step ■). Then, transfer the result to image density buffer 1
55 to the arithmetic processing means 78.

This situation is shown in FIG. 19a. In this FIG. 19a, a red separation density 231 and a green separation density 232 are obtained as a result of sequentially scanning the image shown in FIG. 17 at a pitch of 10 μm.
, each profile of blue decomposition density 233 is shown. Here, the blue separation density 233 shown by the dashed line has increased density not only in the yellow part but also in the cyan and magenta coloring parts, and the position of the yellow coloring material cannot be specified in this state.

Therefore, the arithmetic processing means 78 calculates the three color densities of red, green, and blue (R
, G, B) to the coloring material amounts (CSM, Y) of each color (Fig. 18 (step ■)), and stores the profile of each coloring material amount of cyan, magenta, and yellow. This conversion formula is as follows: It can be expressed as follows.

(1) Here, R, G, and B on the right side are the detected three-color separation densities of red, green, and blue. Also, in this equation (1), the coefficient a, 1. . . . The 3×9 coefficient matrix represented by a39 is stored in a ROM (!J-de-only memory) and arranged in the arithmetic processing means 78. The content of this coefficient matrix usually differs depending on the color characteristics of the cyan, magenta, and yellow coloring materials used. However, the commonly used cyan, magenta, and yellow colorants are called process inks.
Among the products currently on the market, each company has almost the same color characteristics, and the same coefficient matrix can be used.

Of course, when inspecting a color image on a recording device that uses a special color material, it is also possible to determine a suitable counting matrix from the color characteristics of the color material. In addition, the contents of the coefficient matrix are stored in ROM depending on the color material used.
It is also possible to set up different types of information and switch between them as necessary. Furthermore, one ROM may be divided into a plurality of storage areas, and these storage areas may be selectively recalled depending on the type of coloring material used.

FIG. 19 shows the coloring material amount profiles for each of the cyan, magenta, and yellow coloring materials obtained based on equation (1). Here, the amount of cyan color material is 234
, magenta coloring material amount 235, and yellow coloring material amount 236
are obtained according to the red decomposition concentration 231, the green decomposition concentration 232, and the blue decomposition concentration 233 shown in FIG. As can be seen by comparing FIG. 17 and FIGS. 19a and 19b, the cyan, magenta, and yellow color materials are completely separated in FIG. 19 by the above-mentioned equation (1). In particular, the improvement effect on the yellow coloring material, which was incompletely separated in FIG. 19a, is remarkable.

The arithmetic processing means 78 calculates threshold levels CT and M for binarizing each image signal from each of the cyan, magenta, and yellow profiles as shown in FIG. 19C.
T and YT are set, and the center positions C", M" and Y" of the lines made of each coloring material are set (Step 2 in FIG. 18).

First, the threshold levels C1, MT, and Yr are determined by the following equation (2).

T H1-(DATA, , Axt DAT8x
to a+) xQ, 5+DATA, 4+N+
......(2) Here, i=1.2.3, T H+ -CT, TH2=M, , TH3=YT
It is.

This determined threshold level CT%MT,
Yt and the corresponding three-color color material amounts 234 to 236 are calculated, and from the arithmetic mean value of the two intersection points, the center position C'' of each color material for each line is determined as shown in FIG. 19d. , 'M', and Y* are searched.

Next, the arithmetic processing means 78 determines the center position of each line C'', M'',
Y'' is used to calculate the color shift amount α from the following equation (3).

a=may, (IC"-M"l, 1M"-Y
"1, IY"-C"l)... (3) The color shift amount α obtained by this equation (3) is the 15th
For the three broken lines in the figure, three types of color shift amounts α1, α2, and α3 are obtained (step 2 in FIG. 18). The output means 83 outputs these three types of color shift amount α1, α
2. α3 will be visualized.

By the way, in the color image automatic inspection device of this embodiment, the rectangular area for scanning the object to be inspected is 10 μm x 500 μm.
It was set as a rectangle with an extremely small size of m. Therefore,
Unlike conventional image inspection devices, it is possible to perform inspections that closely resemble human visual perception. This will be explained in detail next.

First, FIG. 20 is an enlarged view of a part of the chart for resolution inspection. In this way, in this chart, black lines 201 with different intervals and line widths are drawn in parallel, and the resolution of the copied image is determined by how far the line width can be distinguished from the white background part 202. It is designed to be inspected.

FIG. 21 shows a further enlarged part of this chart, and FIG. 22 shows a sample of images copied by a copying machine in correspondence with this.

Here, FIG. 22A is an example in which relatively large unevenness occurs in the boundary area between the ground color portion 202 and the black line 202, and FIG.
This is an example of toner scattering at these boundary areas. Further, C in the same figure is an example in which a blank area 203 to which no toner is attached is generated inside the black line 201. In addition, various other situations may occur, such as the density of the black line 201 not changing all at once at the boundary but changing stepwise, or shading occurring inside the black line 201. Such delicate image conditions are a relatively large factor in image quality evaluation.

By the way, FIG. 23 shows the signal level of an image signal read by a conventional device when the contour of the black line is uneven, as shown in FIG. 22A, for example. This image signal 205 is a signal obtained by horizontally scanning the chart shown in FIG.
This corresponds to FIG. 4 of Publication No. 03465. A signal portion 205' shown by a broken line in this figure is an image signal obtained by scanning the protruding portion of the black line 201 in FIG. 22A, and has a thicker waveform than other portions shown by a solid line.

However, when the image signals 205 and 205' are binarized at the threshold level shown by the dashed line 207 in the figure and the image is inspected, the evaluation of the resolution is exactly the same for both signals. This is because in conventional devices, the resolution is determined based on the location where a signal change occurs due to binarization and the number of times the signal changes at that location.

FIG. 24 shows an image signal obtained by the conventional device for the image state shown in FIG. 22B, and FIG. 25 shows an image signal obtained by the conventional device for the image state shown in FIG. 22C. This represents an example.

In the example shown in FIG. 24, the level of the image signal 205 becomes high in a portion 208 where the scattered toner is scanned. However, since the scattered area is relatively small,
The signal level does not rise sufficiently in this part, and it is ignored in the binarization process. Figure 25 shows the opposite case,
A blank area 203 existing in the black line 201 causes the signal level in the arrow 209 to decrease. However, even in this case, since the signal change in the minute portion is not sufficient, this change is ignored in the binarization process. As described above, the conventional apparatus has a problem in that images are judged at a level different from that perceived by the human eye.

However, in the color image automatic inspection device of this embodiment, the fourth
As shown in the figure, the optical density of the object to be inspected is inspected using an aperture of 10 μm x 500 μm. The diameter of toner particles after fixing is approximately 10 to 20
.mu.m, it can be seen that this makes it possible to inspect images at a level approximately equivalent to human sensitivity when inspecting objects to be inspected.

In addition, since the automatic color image inspection device of this embodiment measures the object to be inspected using a rectangular area as the minimum measurement range,
The object to be inspected can be efficiently scanned without gaps. Of course, the rectangular area is not limited to a rectangle of 10 μm×500 μm. For example, it may be a rectangle with a larger size, a square with sides of the same length as the aforementioned short sides, or a square with a larger size. In the case of a square shape, there is no need to tilt (rotate) the aperture accordingly even when inspecting a pattern consisting of diagonally inclined line segments.

Of course, the shape of the opening used for measurement does not have to be a strict rectangle, and may be, for example, a rectangle close to a circle or an ellipse. However, in these cases, in order to scan the entire image, some of the images are read overlappingly, so it is necessary to process these overlapping parts.

Although a photomultiplier tube is used as the light receiving means in the embodiment, the same optical density measurement operation can be performed using a photomultiplier using a semiconductor or a one-dimensional sensor such as a CCD. Further, in the embodiment, the optical density was detected using reflected light, but it may be detected using transmitted light, for example, when inspecting the development state of photographic film.

Furthermore, in the embodiment, as a unit constituting the image to be inspected,
The explanation has been given using toner particles as an example. For other non-impact type devices or impact type devices, the size and rotation angle of the opening may be considered in consideration of the size and shape of the ink used therein.

"Effects of the Invention" As explained above, according to the present invention, it is possible to automate the inspection of the optical density of objects to be inspected, such as copy paper, in black and white, or in one specific color or a plurality of colors. The burden on the worker can be reduced. Furthermore, since the pattern to be inspected can be selected according to the measurement content, efficient work is possible. In particular, when the object to be inspected is a color image, it is possible to accurately inspect the amount of color shift, which is one of the important items that affects color reproducibility, so it is a practical tool for evaluating color images. Great value.

[Brief explanation of the drawing]

The drawings are for explaining one embodiment of the present invention, of which Fig. 1 is a perspective view of an automatic color image inspection device, Fig. 2 is a schematic configuration diagram showing the main parts of the inspection section, and Fig. 3 is a diagram showing the main parts of the inspection section. FIG. 4 is an explanatory diagram showing the arrangement of the optical components of the optical head; FIG.
FIG. 5 is a block diagram schematically showing the circuit configuration of the automatic color image inspection device, FIG. 6 is a block diagram showing the configuration of external signal input means, FIG. 7 is a block diagram showing the configuration of pattern information storage means, and FIG. FIG. 8 is an explanatory diagram showing the configuration of the pattern information storage unit, FIG. 9 is a block diagram showing the configuration of the processing procedure storage means, FIG. 10 is a block diagram showing the configuration of the processing code storage means, and FIG. 11 is the inspection procedure. FIG. 12 is a block diagram showing the structure of the storage means, FIG. 12 is a block diagram showing the structure of the measuring means, FIG. 13 is a block diagram showing the structure of the arithmetic processing means, and FIG. 14 shows the arrangement of position detection patterns. A plan view of the chart, FIG. 15 is a plan view showing an example of a pattern for density measurement, FIG. 16 is an explanatory diagram showing an example of scanning in the X-axis direction, and FIG. 17 is a diagram inside the circle in FIG. Enlarged plan view showing the state of color shift in the pattern portion shown, No. 18
The figure is a flowchart showing the color shift amount inspection process, and Figure 19 is the first
This is an explanatory diagram showing the processing process of the image signal read from the image part shown in Figure 7, in which figure a is a waveform diagram showing each profile of red separation density, green separation density, and blue separation density; , a waveform diagram showing the profile of the amount of coloring material for each coloring material for yellow, C is a waveform diagram showing how the threshold level is set for each coloring material, and D is an explanatory diagram showing the center position of each line. , Fig. 20 is a plan view showing an enlarged part of the chart for resolution inspection, Fig. 21 is a plan view showing a further enlarged part of the chart shown in Fig. 20, and Figs. 22 A-C are A partially enlarged plan view showing various states of the copy image sample, FIG.
FIG. 24 is a waveform diagram showing the signal level of the image signal obtained by reading the image portion shown in FIG. 22B. FIG.
This figure is a waveform diagram showing the signal level of an image signal obtained by reading the image portion shown in FIG. 22C, and FIG. 26 is a principle diagram showing the copying principle of a color xerography copying machine. 1...Inspection section, 2...Computer section, 4...Copy paper, 5...Supply tray, 8...Chart holding section , 41... Concentration detection unit, 58... Photomultiplier tube, 66... Filter unit, 68... Color filter, 76... - Measuring means, 78... Arithmetic processing means, 221... Pattern, 231... Red decomposition concentration, 232... Green decomposition concentration, 233... ... Blue decomposition density, 234 ... Cyan coloring material amount, 235 ... Magenta coloring material amount, 236 ... Yellow coloring material amount, C"1.M", Y”...Center position of each color material, α...Amount of color shift. Applicant: Fuji Xerox Co., Ltd. Agent

Claims (1)

[Claims] An inspection object holding means for holding an inspection object having an image composed of a plurality of inspection patterns, a supply means for supplying the inspection object to the inspection object holding means, and the inspection object. An inspection pattern selection means for selecting a pattern to be inspected from among the inspection objects held in the holding means, and an inspection pattern selection means for reading an image and determining the optical density of the part to an achromatic color or a predetermined chromatic color density. an optical density measuring means for detecting an image, a moving means for moving the optical density measuring means to an image reading position, and a color misregistration amount for determining the amount of color misregistration in a color image using data obtained from the optical density measuring means. 1. A color image automatic inspection device comprising: a detection means.