JP2013072725A - Image quality inspection method, image quality inspection device and image quality inspection program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an image quality inspection method, an image quality inspection device and an image quality inspection program capable of minimizing the number of images necessary for an image quality inspection and reducing a processing load necessary for the image quality inspection.SOLUTION: An image quality inspection device 1 has a taking-in part 21 for continuously imaging and taking in pictures to be inspected in which a white pattern WP obtained by forming an outer frame of the picture to be inspected by a black dashed line pattern 40 and a black pattern BP obtained by forming the outer frame at the same position as the black dashed line by a white dashed line pattern 40 are switched and displayed. The image quality inspection device 1 also has an extraction part 22 for extracting a picture in which a dashed line upper side 40A of the outer frame is identical to a dashed line lower side 40B facing the dashed line upper side, among the multiple pictures having been taken in. In addition, the image quality inspection device 1 has a discrimination part 23 for discriminating between the white pattern and the black pattern among the extracted pictures, and an inspection part 24 for carrying out an image quality inspection of the picture to be inspected on the basis of the discriminated white pattern and black pattern.

Description

  The present invention relates to an image quality inspection method, an image quality inspection apparatus, and an image quality inspection program.

  For example, in a method for inspecting the image quality of a non-interlace (progressive) display system such as a liquid crystal display or a plasma display, an inspection pattern is displayed on the display to be inspected, and the inspection pattern is displayed on a camera connected to an image quality inspection apparatus. Take an image. Then, the image quality inspection apparatus performs various image quality inspections using the inspection pattern screen imaged by the camera.

  There are two types of inspection patterns displayed on the display to be inspected: a white pattern in which the entire surface is displayed in white and a black pattern in which the entire surface is displayed in black. The display to be inspected is connected to a pattern generator, and switches between a white pattern and a black pattern at predetermined intervals in accordance with a pattern generator switching instruction.

  In addition, when a display to be inspected is housed in a dark place where external light is blocked, the camera of the image quality inspection apparatus captures a white pattern and a black pattern inspection pattern displayed on the display in the dark place. . The image quality inspection apparatus uses a white pattern and a black pattern to perform various image quality inspections such as partial abnormal display, dark spot (line), bright spot (line), luminance, color unevenness, etc. Execute.

  In addition, there are two types of methods by which the image quality inspection apparatus acquires the inspection pattern, for example, a synchronous method and an asynchronous method. In the case of the synchronous method, the image quality inspection apparatus instructs the pattern generator connected to the display to be inspected to switch. Further, the pattern generator displays the inspection pattern on the screen in response to a switching instruction from the image quality inspection apparatus. As a result, since the imaging cycle of the screen on the display and the switching cycle of the inspection pattern are the same, the image quality inspection apparatus can acquire a white pattern and a black pattern, which are two types of inspection patterns, according to the switching instruction.

  However, in the case of the synchronous method, it is necessary to provide communication means such as a wireless adapter and a communication cable between the image quality inspection apparatus and the pattern generator, so that the equipment cost required for the communication means increases. Moreover, in general, in the image quality inspection apparatus, the display to be inspected flows on the belt conveyor, and the image quality inspection for the display is executed in the flow operation. Therefore, for example, the work load required for connection and removal of the communication means for the pattern generator connected to the display is large.

  On the other hand, in the asynchronous method, the image quality inspection apparatus does not give an instruction to switch the display to the pattern generator, the display pattern switching display on the display side and the display screen of the image quality inspection apparatus side display. This is a method in which imaging with respect to is performed independently. FIG. 13 is an explanatory diagram illustrating an example of an inspection pattern acquisition operation related to an asynchronous image quality inspection apparatus.

  In FIG. 13, the display to be inspected switches and displays a white pattern and a black pattern, which are two types of inspection patterns, every predetermined switching period using a connected pattern generator. In the middle of switching between the white pattern and the black pattern, an unnecessary pattern in which the white pattern and the black pattern are mixed is generated. Further, the camera of the image quality inspection apparatus continuously captures the display screen on the display screen at a constant imaging cycle when the display is present in an imaging area where the entire display screen can be captured. The imaging cycle of the camera is calculated based on the test pattern switching cycle and the display refresh rate so that the white pattern and the black pattern, which are two types of test patterns, can be captured efficiently. In the example of FIG. 13, for example, when the display pattern switching display period of the display by the pattern generator is 0.38 seconds, the imaging period of the camera of the image quality inspection apparatus is 0.33 seconds.

JP 2008-152188 A JP 2009-212757 A JP-A-5-172759 JP 2002-250702 A

  In the image quality inspection apparatus, as shown in FIG. 13, the inspection pattern displayed on the screen is continuously imaged at a constant imaging cycle. The image quality inspection device captures at least three screens in consideration of capturing an unnecessary screen in the middle of switching between the white pattern and the black pattern as well as the white pattern and the black pattern in the imaging cycle. Will do. However, the image quality inspection apparatus executes the image quality inspection processing not only on the screen of the white pattern and the black pattern but also on the screen that is originally unnecessary and is being switched.

  As a result, since the image quality inspection apparatus performs image quality inspection processing even on unnecessary switching screens, the image quality inspection processing is performed as compared with the case where image quality inspection processing is performed on two screens of a white pattern and a black pattern. The processing burden is about 1.5 times, and the inspection time is also 1.5 times longer.

  In one aspect, an object is to provide an image quality inspection method, an image quality inspection apparatus, and an image quality inspection program that reduce the processing load required for image quality inspection by minimizing the screen required for image quality inspection.

  In one method, on the image quality inspection apparatus, a white screen formed with a black broken line and a black screen formed with a white broken line at the same position as the black broken line are alternately displayed continuously on the outer frame of the screen to be inspected. The screen to be inspected is continuously captured and captured. Further, in the aspect, a screen in which a broken line on one side of the outer frame formed by the broken line and a broken line on the opposite side facing the one side are extracted from the plurality of captured screens. Further, according to the aspect, the white screen and the black screen are selected from the extracted screens, and each process is executed to execute an inspection on the screen to be inspected based on the selected white screen and the black screen. Let

  In the disclosed method, a screen in which a broken line on one side of the outer frame matches a broken line on the opposite side is extracted from a plurality of captured screens, and a white screen and a black screen are selected from these extracted screens. Based on the selected white screen and black screen, inspection is performed on the screen to be inspected. As a result, the processing load required for the image quality inspection can be reduced by minimizing the screen required for the image quality inspection.

FIG. 1 is an explanatory diagram illustrating an example of an image quality inspection apparatus according to the present embodiment. FIG. 2 is an explanatory diagram illustrating an example of an imaging state of a display to be inspected by the image quality inspection apparatus. FIG. 3 is an explanatory diagram showing an example of an inspection pattern imaged by the image quality inspection apparatus. FIG. 4 is a block diagram illustrating an example of an image quality inspection apparatus. FIG. 5 is an explanatory diagram showing an example when the image quality inspection apparatus extracts the upper side of the broken line. FIG. 6 is an explanatory diagram showing an example when the image quality inspection apparatus extracts the lower side of the broken line. FIG. 7 is an explanatory diagram showing an example when the image quality inspection apparatus selects an inspection pattern. FIG. 8 is a flowchart showing an example of the processing operation of the control unit of the image quality inspection apparatus related to the inspection process. FIG. 9 is a flowchart illustrating an example of the processing operation of the control unit related to the screen extraction process. FIG. 10 is a flowchart illustrating an example of the processing operation of the control unit related to the broken line extraction process. FIG. 11 is a flowchart illustrating an example of the processing operation of the control unit related to the broken line extraction process. FIG. 12 is a block diagram illustrating an example of a computer that executes an image quality inspection program. FIG. 13 is an explanatory diagram illustrating an example of an inspection pattern acquisition operation related to an asynchronous image quality inspection apparatus.

  Hereinafter, embodiments of an image quality inspection method, an image quality inspection apparatus, and an image quality inspection program disclosed in the present application will be described in detail with reference to the drawings.

  FIG. 1 is an explanatory diagram illustrating an example of an image quality inspection apparatus according to the present exemplary embodiment, and FIG. 2 is an explanatory diagram illustrating an example of an imaging state of a display to be inspected by the image quality inspection apparatus. An image quality inspection apparatus 1 shown in FIG. 1 is installed in an inspection process of a production line, adopts an asynchronous method, and continuously captures a display screen of a display 3 to be inspected such as a notebook computer conveyed by a belt conveyor 2. . Furthermore, the image quality inspection apparatus 1 performs an image quality inspection on the imaged screen.

  The image quality inspection apparatus 1 includes an imaging unit 11A and a control unit 14. The imaging unit 11A continuously images the screen of the inspection target display 3 existing in the imaging area Q in which the entire area of the screen of the inspection target display 3 can be imaged. The image quality inspection apparatus 1 uses the imaging sensor 4 disposed adjacent to the belt conveyor 2 and the display 3 is present in the imaging area Q in which the entire area of the display screen of the display 3 to be inspected can be imaged. Recognize that. The imaging area Q is arranged in a dark place. The imaging unit 11A continuously images at least two or more screens, depending on the time during which the display 3 to be inspected exists in the imaging area Q, the imaging speed of the imaging unit 11A, and the imaging cycle. The imaging area Q is, for example, 490 mm × 325 mm. Further, one pixel of the display screen of the display 3 is set to 0.094 mm, for example. For convenience of explanation, the display 3 is, for example, a 15.6 inch LCD (Liquid Crystal Display).

  The display 3 to be inspected is connected to a pattern generator (not shown), and this pattern generator is used to switch and display two types of inspection patterns, a white pattern and a black pattern, at regular intervals. The image quality inspection apparatus 1 is asynchronous with, for example, a pattern generator connected to the display 3 to be inspected. FIG. 3 is an explanatory diagram illustrating an example of an inspection pattern imaged by the image quality inspection apparatus 1. The imaging screen shown in FIG. 3 is an image of the display screen of the display 3 in a dark place in the imaging area Q. The imaging screen is a screen whose display screen has a black background. Therefore, in order to identify the boundary between the background R and the inspection pattern P, a broken line pattern 40 with a predetermined interval is drawn on the outermost peripheral frame of the inspection pattern P displayed on the display 3. For example, when the inspection pattern P is a white pattern WP, a black broken line pattern 40 with a predetermined interval is drawn on a white background as shown in FIG. In the case of the black pattern BP, as shown in FIG. 3B, white broken line patterns 40 with the same predetermined interval are drawn on the black background. The broken line pattern 40 is a rectangular frame, the upper side of which is a broken line upper side 40A, and the lower side of the broken line pattern 40 is a broken line lower side 40B. For example, when the white pattern WP is defined by RGB setting values of the display 3, “R”, “G”, and “B” are the maximum “255”, respectively. On the other hand, in the black pattern BP, “R”, “G”, and “B” are the minimum “0”.

  Further, the belt conveyor 2 conveys the display 3 to be inspected at a constant speed of 14 mm / second, for example. The switching display period of the inspection pattern P of the display 3 by the pattern generator of the display 3 is 0.38 seconds, and the imaging period of the imaging unit 11A of the image quality inspection apparatus 1 is 0.33 seconds.

  FIG. 4 is a block diagram illustrating an example of the image quality inspection apparatus 1. The image quality inspection apparatus 1 shown in FIG. 4 includes an input unit 11, a display unit 12, a storage unit 13, and a control unit 14. The input unit 11 includes a keyboard 11B and a mouse 11C in addition to the imaging unit 11A described above. The keyboard 11B and the mouse 11C receive inputs such as various commands. The display unit 12 displays various information on the screen.

  The storage unit 13 stores various information. The storage unit 13 includes a parameter storage area 13A, a luminance storage area 13B, a white pixel storage area 13C, a broken line candidate storage area 13D, and a broken line storage area 13E. The parameter storage area 13A includes, for example, various parameters such as the width dimension, the vertical dimension, the number of pixels of the display 3 to be inspected, the pixel resolution (mm / pixel) of the imaging unit 11A, and the predetermined interval of the broken line pattern 40 on the screen. Is stored. The parameter storage area 13A may store not only one type of display 3 but also a plurality of types of display 3 parameters.

  The luminance storage area 13B stores the luminance value of each pixel described later for each imaging screen. The white pixel storage area 13C stores pixel coordinates of a white pixel, which will be described later, extracted on the imaging screen. The broken line candidate storage area 13D stores pixel coordinates of white pixels of a broken line candidate, which will be described later, extracted on the imaging screen. The broken line storage area 13E stores pixel coordinates of white pixels of a broken line upper side 40A and a broken line lower side 40B, which will be described later, extracted on the imaging screen.

  The control unit 14 includes a screen processing unit 20 and a calculation unit 30. The screen processing unit 20 performs various processes on the screen of the display 3 to be inspected, which is imaged by the imaging unit 11A. The screen processing unit 20 includes a capture unit 21, an extraction unit 22, a selection unit 23, and an inspection unit 24. The capturing unit 21 captures the imaging screens to be inspected continuously captured by the imaging unit 11A. The extraction unit 22 includes a broken line extraction unit 22 </ b> A that extracts a broken line pattern 40 from the imaging screen captured by the capture unit 21. The extracting unit 22 converts the imaging screen captured by the capturing unit 21 into a gray scale, and stores the luminance value (0 to 255) of each pixel in the luminance storage area 13 </ b> B in the storage unit 13. Further, the extraction unit 22 performs binarization processing on the luminance value of each pixel in the imaging screen, and extracts a white pixel from the binarized pixels. And if the extraction part 22 extracts a white pixel from each binarized pixel, it will store the pixel coordinate of a white pixel in 13 C of white pixel storage areas.

  FIG. 5 is an explanatory diagram showing an example when the image quality inspection apparatus 1 extracts the upper side 40A of the broken line. The vertical axis of the imaging screen is Y, and the horizontal axis is X. The broken line pattern 40 includes, for example, a pair of broken lines with a predetermined interval between five white pixels and five black pixels on the same X coordinate and the plurality of pairs. The broken line extraction unit 22A sequentially extracts white pixels from the captured pixels in the imaging screen. For example, the broken line extraction unit 22A sets the origin coordinates (X = 0, Y = 0) as the start coordinates of the target pixel 41 and sets the target pixel as shown in FIGS. It is determined whether 41 is a white pixel 41A.

  When the target pixel 41 is not the white pixel 41A, for example, the black pixel 41B, the broken line extraction unit 22A increments the Y coordinate of the target pixel 41 by 1 and determines whether the target pixel 41 is the white pixel 41A. . Furthermore, when the target pixel 41 is not the white pixel 41A, the broken line extraction unit 22A increments the Y coordinate of the target pixel 41 by +1. That is, the broken line extraction unit 22A continuously increments the Y coordinate of the target pixel 41 by +1 until the white pixel 41A is extracted. Then, as illustrated in FIG. 5B, the broken line extraction unit 22A stores the pixel coordinates of the white pixel 41A as the candidate white pixel 41C of the upper side 40A of the broken line when the target pixel 41 is the white pixel 41A. It is stored in 13 broken line candidate storage areas 13D.

  When the Y coordinate of the target pixel 41 reaches the maximum coordinate M, the broken line extraction unit 22A increments the X coordinate of the target pixel 41 by 1 and sets the Y coordinate to “0”, so that the target pixel 41 is white. It is determined whether or not the pixel 41A. Then, the broken line extracting unit 22A performs a series of operations such as incrementing the Y coordinate of the target pixel 41 by +1 until the white pixel 41A is extracted, and incrementing the X coordinate by +1 when the Y coordinate reaches the maximum coordinate M. repeat.

  The broken line extraction unit 22A continues incrementing the X coordinate by +1 until the white pixel for at least one pair of the broken line pattern 40 is obtained with respect to the X coordinate of the target pixel 41. The broken line extraction unit 22A increments the X coordinate up to the set maximum coordinate to obtain the next pair of white pixels 41A through the five black pixels 41B and the five white pixels 41A that are continuous on the X coordinate on the same Y coordinate. continue. That is, the broken line extraction unit 22A continues incrementing up to the set maximum coordinate of the X coordinate in which a broken line candidate of at least one pair of five white pixels + 1 white pixel can be recognized. When the image pickup screen is a white pattern, the broken line extraction unit 22A increments the X coordinate until the broken line pattern 40 obtains the next pair of white pixels 41A through a pair of five black pixels 41B + 5 white pixels 41A. Run. Further, when the imaging screen is a black pattern, the broken line extraction unit 22A increments the X coordinate until the broken line pattern 40 obtains the next pair of white pixels 41A through a pair of five white pixels 41A + 5 black pixels 41B. Run.

  As shown in FIG. 5C, the broken line extraction unit 22A uses the Y coordinate as the origin coordinate among the pixel coordinates of the white pixel 41C on the upper side 40A of the broken line stored in the broken line candidate storage area 13D of the storage unit 13. The closest white pixel 42 is extracted. Then, the broken line extraction unit 22A identifies the upper side 40A of the broken line with these extracted white pixels 42. When the broken line extraction unit 22A specifies the upper side 40A of the broken line, the broken line extraction unit 22A stores the pixel coordinates for one pair including the white pixel 42 on the upper side 40A of the broken line in the broken line storage area 13E.

  FIG. 6 is an explanatory diagram illustrating an example when the image quality inspection apparatus 1 extracts the lower side 40B of the broken line. As shown in FIG. 6A, the broken line extraction unit 22A sets predetermined coordinates (X = 0, Y = M) as the start coordinates of the target pixel 41, and the set target pixel 41 is a white pixel 41A. It is determined whether or not there is. When the target pixel 41 is not the white pixel 41A, the broken line extraction unit 22A decrements the Y coordinate of the target pixel 41 by −1 and determines whether the target pixel 41 is the white pixel 41A. Furthermore, when the target pixel 41 is not the white pixel 41A, the broken line extraction unit 22A decrements the Y coordinate of the target pixel 41 by -1. That is, the broken line extraction unit 22A continues to decrement the Y coordinate of the target pixel 41 by −1 until the white pixel 41A is extracted. Then, when the target pixel 41 is the white pixel 41A, the broken line extraction unit 22A stores the white pixel 41A as the white pixel 41C as the candidate for the lower side 40B of the broken line and stores the pixel coordinates in the broken line candidate storage area 13D.

  Further, when the Y coordinate of the target pixel 41 reaches the minimum coordinate 0, the broken line extraction unit 22A sets the X coordinate of the target pixel 41 by +1 and sets the Y coordinate to the maximum coordinate M so that the target pixel 41 is a white pixel. It is determined whether it is 41A. Then, the broken line extraction unit 22A repeats a series of operations such as decrementing the Y coordinate of the target pixel 41 by -1 and extracting the X coordinate by +1 when the Y coordinate reaches the maximum coordinate M until the white pixel 41A is extracted. .

  The broken line extracting unit 22A continues incrementing the X coordinate by +1 until the X coordinate of the target pixel 41 obtains at least one pair of white pixels of the broken line pattern 40 + one white pixel of the next pair. The broken line extraction unit 22A increments the X coordinate up to the set maximum coordinate to obtain the next pair of white pixels 41A through the five black pixels 41B and the five white pixels 41A that are continuous on the X coordinate on the same Y coordinate. continue. That is, the broken line extracting unit 22A continues incrementing up to the set maximum coordinate of the X coordinate until a broken line candidate of at least one pair + 1 white pixel is recognized. In addition, when the imaging screen is a white pattern, the broken line extraction unit 22A executes the increment of the X coordinate until the broken line pattern 40 obtains the next pair of white pixels 41A through five black pixels 41B + 5 white pixels 41A. . In addition, when the imaging screen has a black pattern, the broken line extraction unit 22A performs incrementing of the X coordinate until the broken line pattern 40 obtains the next pair of white pixels 41A through the five white pixels 41A + black pixels 41B.

  The broken line extraction unit 22A, as shown in FIG. 6B, among the pixel coordinates of the white pixel 41C of the lower side 40B of the broken line stored in the broken line candidate storage area 13D, the white pixel whose Y coordinate is farthest from the origin coordinate 42 is extracted, and the lower side 40B of the broken line is specified by the extracted white pixels 42. When the broken line lower side 40B is specified, the broken line extraction unit 22A stores a pair of pixel coordinates including the white pixel 42 of the broken line lower side 40B in the broken line storage area 13E.

  The selection unit 23 uses the broken line pattern 40 extracted by the extraction unit 22 to select the inspection pattern P from the plurality of imaging screens. FIG. 7 is an explanatory diagram showing an example when the image quality inspection apparatus 1 selects the inspection pattern P. The selection unit 23 determines whether or not the pixels of the same X coordinate on the upper side 40A and the lower side 40B of the broken line specified by the broken line extraction unit 22A match. When all the pixels having the same X coordinate coincide with each other, the selection unit 23 determines that the imaging screen is the inspection pattern P to be inspected as illustrated in FIG. The selection unit 23 compares the pixel (Xun, Yun) on the upper side 40A of the broken line with the pixel (Xun, Ydn) on the lower side 40B of the broken line to determine whether or not they match. Further, the selection unit 23 compares the pixel (Xun + 1, Yun) on the upper side 40A of the broken line with the pixel (Xun + 1, Ydn) on the lower side 40B of the broken line to determine whether or not they match. Then, when all of the pixels of the same X coordinate are matched among the white pixels 41A for one pair of the upper side 40A of the broken line and the white pixels 41A for one pair of the lower side 40B of the broken line, the selecting unit 23 determines that this imaging screen is an inspection target. The inspection pattern P is determined. Note that the selection unit 23 may make a determination by comparing pixels of the same X coordinate among a pair of pixels of the upper side 40A of the broken line and a pair of pixels of the lower side 40B of the broken line.

  In addition, when all the pixels of the same X coordinate on the upper side 40A and the lower side 40B of the broken line do not match, the sorting unit 23 selects the inspection target such as during switching or an obstacle pattern as shown in FIG. It is determined that it is not the inspection pattern P. Further, when the inspection pattern P is selected from the plurality of imaging screens, the selection unit 23 determines whether or not the pixels in the center range in the selected inspection pattern P are white. The sorting unit 23 sorts the inspection pattern P from the white pattern WP when the pixel in the center range in the inspection pattern P is white. Further, the sorting unit 23 sorts the inspection pattern P from the black pattern BP when the pixel in the center range in the inspection pattern P is not white.

  The inspection unit 24 performs an image quality inspection of the display 3 to be inspected using the white pattern WP and the black pattern BP selected by the selection unit 23. The inspection unit 24 uses the white pattern WP to inspect, for example, partial display abnormality indicating partial display abnormality, dark spot (dark line) abnormality, luminance abnormality, color unevenness abnormality, and left and right distortion. Run. In addition, the inspection unit 24 performs an inspection for abnormalities of bright spots (bright lines) using the black pattern BP. Further, the inspection unit 24 uses the white portion of the broken line pattern 40 of the black pattern BP for the black portion of the broken line pattern 40 of the white pattern WP, the partial display abnormality, the dark spot (dark line) abnormality, the luminance abnormality, the color. Perform inspection for irregularities. In addition, the inspection unit 24 uses the white portion of the broken line pattern 40 of the white pattern WP for the black portion of the broken line pattern 40 of the black pattern BP, the partial display abnormality, the dark spot (dark line) abnormality, the luminance abnormality, the color Perform inspection for irregularities.

  Next, the operation of the image quality inspection apparatus 1 of this embodiment will be described. FIG. 8 is a flowchart showing an example of the processing operation of the control unit 14 of the image quality inspection apparatus 1 related to the inspection process. The inspection process shown in FIG. 8 continuously images the screen of the display 3 to be inspected in the imaging area Q, selects two types of inspection patterns P from the captured screen, and uses the selected two types of inspection patterns P. This is a process for executing the image quality inspection of the display 3 to be inspected.

  In FIG. 8, the control unit 14 determines whether or not the display 3 to be inspected is within the imaging area Q (step S11). When the display 3 to be inspected is within the imaging area Q (Yes at Step S11), the control unit 14 continuously images the screen of the display 3 to be inspected using the imaging unit 11A (Step S12). Note that the imaging unit 11A continuously images a predetermined number of screens of the display 3 to be inspected present in the imaging area Q.

  When the extraction unit 22 of the control unit 14 continuously captures the screen to be inspected, the extraction unit 22 performs a screen extraction process shown in FIG. 9 (step S13). After executing the screen extraction process, the selection unit 23 of the control unit 14 determines whether two types of inspection patterns P, which are the white pattern WP and the black pattern BP, have been acquired (Step S14). When the inspection unit 24 of the control unit 14 acquires two types of inspection patterns P (Yes at Step S14), the inspection unit 24 executes image quality inspection processing for inspecting the screen of the display 3 using the white pattern WP and the black pattern BP ( Step S15), the processing operation shown in FIG.

  When the display 3 to be inspected is not in the imaging area Q (No at Step S11), the control unit 14 ends the processing operation illustrated in FIG. If the extraction unit 22 has not acquired two types of inspection patterns (No in step S14), is there an imaging screen that has not been subjected to screen extraction processing among the plurality of imaging screens of the imaged display 3 to be inspected? It is determined whether or not (step S16). If there is an imaging screen that has not undergone screen extraction processing (Yes at Step S16), the extraction unit 22 proceeds to Step S13 in order to perform screen extraction processing on the imaging screen that has not been processed.

  Further, when there is no imaging screen that has not undergone screen extraction processing (No at Step S16), the control unit 14 notifies that the image quality inspection of the display 3 to be inspected is impossible (Step S17). Then, the processing operation shown in FIG. For example, the control unit 14 displays on the display unit 12 a notification content indicating that the image quality inspection is impossible. As a result, the administrator of the image quality inspection apparatus 1 can recognize that the image quality inspection of the display 3 to be inspected is not possible by looking at the notification content.

  In FIG. 8, the image quality inspection apparatus 1 continuously images the screen of the display 3 to be inspected in the imaging area Q, and among the plurality of continuous imaging screens, two types of inspection objects, a white pattern WP and a black pattern BP, An inspection pattern P is obtained. Then, the image quality inspection apparatus 1 performs an image quality inspection of the screen of the display 3 to be inspected using the acquired two types of inspection patterns P to be inspected.

  In addition, when the image quality inspection apparatus 1 can acquire the white pattern WP and the black pattern BP from two imaging screens among a plurality of imaging screens, the image quality inspection apparatus 1 acquires the inspection pattern P for the third and subsequent unprocessed imaging screens. To stop. As a result, the image quality inspection apparatus 1 only needs to process two imaging screens, which is the minimum necessary for the image quality inspection, so that the processing burden required for the inspection can be reduced and the time required for the inspection can be shortened.

  In addition, the image quality inspection apparatus 1 notifies that the image quality inspection is impossible when the two types of inspection patterns P cannot be acquired from the plurality of imaging screens, and thus the administrator can recognize that the image quality inspection of the display 3 to be inspected is not possible. .

  FIG. 9 is a flowchart illustrating an example of a processing operation of the control unit 14 related to the screen extraction process. The screen extraction process shown in FIG. 9 is a process for extracting the imaging screen of the inspection pattern P to be inspected from a plurality of imaging screens. The extraction unit 22 of the control unit 14 illustrated in FIG. 9 converts the imaging screen to be inspected captured by the capture unit 21 into a gray scale (8 bits: 0 to 255) (step S21). The extraction unit 22 converts the imaging screen into a gray scale, and then stores the luminance value of each pixel on the imaging screen in the luminance storage area 13B in the storage unit 13 (step S22). The extraction unit 22 binarizes the luminance value of each pixel in the imaging screen (step S23).

  The extraction unit 22 binarizes the luminance value of each pixel in the imaging screen, and then extracts a white pixel from the binarized pixels (step S24). The extraction unit 22 stores the extracted white pixel coordinates in the white pixel storage area 13C of the storage unit 13 (step S25). The white pixel storage area 13C stores white pixel coordinates (pixel coordinates).

  The extraction unit 22 stores the pixel coordinates of the white pixel 41A in the white pixel storage area 13C, and then executes a broken line extraction process for extracting the broken line pattern 40 based on the coordinates of the white pixel 41A (step S26). The broken line extraction process will be described later with reference to FIGS. After executing the broken line extraction process, the extraction unit 22 determines whether or not the broken line upper side 40A and the broken line lower side 40B are extracted from the imaging screen (step S27).

  When the selection unit 23 of the control unit 14 extracts the upper side 40A of the broken line and the lower side 40B of the broken line from the imaging screen (Yes in step S27), all the pixels of the same X coordinate among the pixels of the upper side 40A of the broken line and the lower side 40B of the broken line match. It is determined whether or not (step S28). The sorting unit 23 determines that the inspection pattern P to be inspected when all the pixels of the same X coordinate among the pixels of the upper side 40A and the lower side 40B of the broken line match (Yes in Step S28). If it determines with the test | inspection pattern P used as test | inspection object, the selection part 23 will determine whether the pixel 41 of the center range of an imaging screen is white (step S29).

  When the pixel 41 in the center range of the imaging screen is white (Yes at Step S29), the selection unit 23 determines the inspection pattern P of the imaging screen as the white pattern WP (Step S30), and performs the processing operation illustrated in FIG. finish. When the pixel 41 in the center range of the imaging screen is not white (No at Step S29), the selection unit 23 determines that the inspection pattern P on the imaging screen is the black pattern BP (Step S31), and ends the processing operation illustrated in FIG. To do.

  If the extraction unit 22 does not extract the broken line upper side 40A and the broken line lower side 40B (No at Step S27), the extraction unit 22 proceeds to Step S16 of M1 shown in FIG. 8 to determine whether or not there is an unprocessed screen. To do. Further, when all of the pixels with the same X coordinate do not match among the pixels on the upper side 40A and the lower side 40B of the broken line (No in step S28), the selecting unit 23 proceeds to M1 illustrated in FIG.

  In FIG. 9, the image quality inspection apparatus 1 extracts the upper side 40A and the lower side 40B of the broken line from the white pixel 41A on the imaging screen, and the pixels of the same X coordinate among the pixels of the upper side 40A and the lower side 40B of the broken line match. The imaging screen is determined as the inspection pattern P to be inspected. As a result, the image quality inspection apparatus 1 can acquire the inspection pattern P to be inspected from a plurality of imaging screens.

  Furthermore, when the central range of the inspection pattern P is white, the image quality inspection apparatus 1 determines that the inspection pattern P is a white pattern WP. As a result, the image quality inspection apparatus 1 can select the white pattern WP from the inspection pattern P to be inspected.

  Furthermore, when the central range of the inspection pattern P is not white, the image quality inspection apparatus 1 determines that the inspection pattern P is a black pattern BP. As a result, the image quality inspection apparatus 1 can select the black pattern BP from the inspection pattern P to be inspected.

  When the pixels of the same X coordinate among the extracted pixels on the upper side 40A and the lower side 40B of the broken line do not all match, the image quality inspection apparatus 1 does not need an imaging screen for inspection (failure screen or during switching). Screen). As a result, the image quality inspection apparatus 1 can identify a screen unnecessary for inspection from a plurality of imaging screens.

  10 and 11 are flowcharts illustrating an example of the processing operation of the control unit 14 related to the broken line extraction process. The broken line extraction process is a process of specifying the upper side 40A and the lower side 40B of the broken line in the imaging screen. In FIG. 10, the broken line extraction unit 22A of the control unit 14 sets the pixel to be inspected in the imaging screen, that is, the origin coordinates (X0, Y0) as the start coordinates of the target pixel 41 (step S41), and the target pixel 41 is white. It is determined whether or not it is the pixel 41A (step S42). When the target pixel 41 is not the white pixel 41A (No at Step S42), the broken line extraction unit 22A increments the Y coordinate of the target pixel 41 by 1 (Step S43) and determines whether the target pixel 41 is the white pixel 41A. (Step S44).

  When the target pixel 41 is not the white pixel 41A (No at Step S44), the broken line extraction unit 22A determines whether the Y coordinate of the target pixel 41 is the maximum coordinate M (Step S45). When the Y coordinate of the target pixel 41 is not the maximum coordinate M (No at Step S45), the broken line extraction unit 22A proceeds to Step S43 to increment the Y coordinate of the target pixel 41 by +1. When the Y coordinate of the target pixel 41 is the maximum coordinate M (Yes at Step S45), the broken line extraction unit 22A increments the X coordinate of the target pixel 41 by 1 (Step S46). Furthermore, the broken line extraction unit 22A sets the Y coordinate of the target pixel 41 to the minimum coordinate (Y = 0) (step S47), and determines whether the target pixel 41 is the white pixel 41A or not in step S42. Transition.

  When the target pixel 41 is the white pixel 41A (Yes at Step S42), the broken line extraction unit 22A sets the white pixel 41A as the white pixel 41C of the upper line 40A candidate and stores the pixel coordinates in the broken line candidate storage area 13D (Step S42). S48). When the broken line extraction unit 22A stores the pixel coordinates of the white pixel 41C in the broken line candidate storage area 13D, the broken line extraction unit 22A determines whether or not the X coordinate of the target pixel 41 is the set maximum coordinate (step S49). The set maximum coordinates are based on the dimensions of the display 3 to be inspected stored in the parameter storage area 13A and the set contents of the broken line pattern 40 (the number of white pixels and black pixels constituting one pair and the order of array pixels). Is set. The set maximum coordinate is the width of the X coordinate from which at least one pair of white and black pixels and the next pair of white pixels are to be extracted. When the X coordinate of the target pixel 41 is not the set maximum coordinate (No at Step S49), the broken line extraction unit 22A proceeds to Step S46 to increment the X coordinate of the target pixel 41 by +1. When the target pixel 41 is the white pixel 41A (Yes at Step S44), the broken line extraction unit 22A proceeds to Step S48 so as to store the screen coordinates of the candidate upper side 40A of the broken line.

  In addition, when the X coordinate of the target pixel 41 is the set maximum coordinate (Yes in step S49), the broken line extraction unit 22A determines that the Y coordinate is the origin coordinate (Y = 0) among the pixel coordinates of the white pixel 41C of the candidate upper side 40A of the broken line. The pixel coordinates closest to) are collected (step S50). When the broken line extraction unit 22A collects the pixel coordinates of the white pixel 41C of the candidate upper line 40A of the broken line 40A whose Y coordinate is closest to the origin coordinate, the broken line extraction unit 22A identifies the upper line 40A of the broken line with the pixel coordinates of the white pixel 42 of the candidate upper line 40A (Step S51), the process proceeds to M2 shown in FIG.

  When the Y coordinate of the target pixel 41 is not the maximum coordinate M (No at Step S45), the broken line extraction unit 22A proceeds to Step S43 to increment the Y coordinate of the target pixel 41 by +1. When the X coordinate of the target pixel 41 is not the set maximum coordinate (No at Step S49), the broken line extraction unit 22A proceeds to Step S46 to increment the X coordinate of the target pixel 41 by +1.

  Further, in M2 shown in FIG. 11, the broken line extraction unit 22A sets predetermined coordinates (X = 0, Y = M) in the imaging screen as the start coordinates of the target pixel 41 (step S61), and the target pixel 41 is a white pixel. It is determined whether it is 41A (step S62). When the target pixel 41 is not the white pixel 41A (No at Step S62), the broken line extraction unit 22A decrements the Y coordinate of the target pixel 41 by −1 (Step S63) and determines whether the target pixel 41 is the white pixel 41A. Determination is made (step S64).

  When the target pixel 41 is not the white pixel 41A (No at Step S64), the broken line extraction unit 22A determines whether or not the Y coordinate of the target pixel 41 is the minimum coordinate (Y = 0) (Step S65). When the Y coordinate of the target pixel 41 is not the minimum coordinate (No at Step S65), the broken line extraction unit 22A proceeds to Step S63 to decrement the Y coordinate of the target pixel 41 by -1. When the Y coordinate of the target pixel 41 is the minimum coordinate (Y = 0) (Yes at Step S65), the broken line extraction unit 22A increments the X coordinate of the target pixel 41 by +1 (Step S66). The broken line extraction unit 22A increments the X coordinate of the target pixel 41 by +1, sets the Y coordinate of the target pixel 41 to the maximum coordinate M (step S67), and determines whether the target pixel 41 is the white pixel 41A. Therefore, the process proceeds to step S62.

  When the target pixel 41 is the white pixel 41A (Yes at Step S62), the broken line extraction unit 22A sets the white pixel 41A as the white pixel 41C of the broken line lower side 40B candidate and stores the pixel coordinates in the broken line candidate storage area 13D (Step S62). S68). When the broken line extraction unit 22A stores the pixel coordinates of the white pixel 41C in the broken line candidate storage area 13D, the broken line extraction unit 22A determines whether or not the X coordinate of the target pixel 41 is the set maximum coordinate (step S69). When the X coordinate of the target pixel 41 is not the set maximum coordinate (No at Step S69), the broken line extraction unit 22A proceeds to Step S66 to increment the X coordinate of the target pixel 41 by +1.

  In addition, when the X coordinate of the target pixel 41 is the set maximum coordinate (Yes in step S69), the broken line extraction unit 22A determines that the Y coordinate is the origin coordinate (Y = 0) among the pixel coordinates of the white pixel 41C of the broken line lower side 40B candidate. ) Is collected the most distant pixel coordinates (step S70). When the broken line extraction unit 22A collects the pixel coordinates of the white pixel 41C of the broken line lower side 40B candidate whose Y coordinate is farthest from the origin coordinate, the broken line extraction unit 22A specifies the broken line lower side 40B from the collected pixel coordinates of the white pixel 42 of the broken line lower side 40B candidate. (Step S71), the processing operation shown in FIG. 11 is terminated.

  When the Y coordinate of the target pixel 41 is not the minimum coordinate (Y = 0) (No at Step S65), the broken line extraction unit 22A proceeds to Step S63 to decrement the Y coordinate of the target pixel 41 by -1. When the X coordinate of the target pixel 41 is not the set maximum coordinate (No at Step S69), the broken line extraction unit 22A proceeds to Step S66 to increment the X coordinate of the target pixel 41 by +1. When the target pixel 41 is the white pixel 41A (Yes at Step S64), the broken line extraction unit 22A proceeds to Step S68 to store the screen coordinates of the broken line lower side 40B candidate.

  The image quality inspection apparatus 1 sequentially searches for the white pixel 41A of each pixel 41 in the imaging screen, stores the pixel coordinates of the white pixel 41C of the upper line 40A candidate in the broken line candidate storage area 13D, and white of the lower line 40B candidate of the broken line The pixel coordinates of the pixel 41C are stored in the broken line candidate storage area 13D. Further, the image quality inspection apparatus 1 specifies the upper side 40A of the broken line with the white pixel 42 having the pixel coordinate closest to the origin coordinate (0, 0) of the white pixel 41C of the candidate 40A of the upper side 40A of the broken line candidate storage area 13D. Furthermore, the image quality inspection apparatus 1 specifies the lower side 40B of the broken line with the white pixel 42 having the pixel coordinate farthest from the origin coordinates (0, 0) as the Y coordinate of the white pixel 41C on the lower side 40B of the broken line candidate storage area 13D. As a result, the image quality inspection apparatus 1 can specify the upper side 40A and the lower side 40B of the broken line on the imaging screen.

  In the above embodiment, the image quality inspection apparatus 1 extracts the imaging screen of the inspection pattern P in which the broken line upper side 40A and the broken line lower side 40B of the outer frame match from the plurality of captured imaging screens, and these extracted imaging screens The white pattern WP and the black pattern BP are selected. Furthermore, the image quality inspection apparatus 1 performs an image quality inspection on the screen of the display 3 to be inspected using the selected white pattern WP and black pattern BP. As a result, the image quality inspection apparatus 1 can reduce the processing load required for the image quality inspection by minimizing the imaging screen required for the image quality inspection. For example, even if three image capture screens are read, the two image capture screens of the white pattern WP and the black pattern BP necessary for the image quality inspection are selected, and the image quality inspection is executed only for the two inspection patterns P. Therefore, the processing load can be reduced to about 2/3 compared with the conventional asynchronous method. Moreover, by reducing the processing load to about 2/3 compared to the conventional asynchronous method, the time required for the image quality inspection can be shortened to about 2/3.

  The image quality inspection apparatus 1 according to the above embodiment executes the image quality inspection of the display 3 to be inspected using the selected white pattern WP and black pattern BP. The image quality inspection apparatus 1 uses the white pattern WP to inspect, for example, partial display abnormality indicating partial display abnormality, dark spot (dark line) abnormality, luminance abnormality, color unevenness abnormality, and left and right distortion. Execute. In addition, the image quality inspection apparatus 1 uses the black pattern BP to inspect for abnormalities of bright spots (bright lines). Furthermore, the image quality inspection apparatus 1 uses the white portion of the black line pattern 40 of the black pattern BP for the black portion of the broken line pattern 40 of the white pattern WP, partial display abnormality, dark spot (dark line) abnormality, luminance abnormality, Perform an inspection for color irregularities. As a result, the image quality inspection apparatus 1 can execute image quality inspections for partial display abnormality, dark spot (dark line) abnormality, luminance abnormality, and color unevenness abnormality related to the black portion of the broken line pattern 40 of the white pattern WP.

  Further, the image quality inspection apparatus 1 uses the white portion of the broken line pattern 40 of the white pattern WP for the black portion of the broken line pattern 40 of the black pattern BP, the partial display abnormality, the dark spot (dark line) abnormality, the luminance abnormality, Perform an inspection for color irregularities. As a result, the image quality inspection apparatus 1 can execute an image quality inspection for a partial display abnormality, a dark spot (dark line) abnormality, a luminance abnormality, and a color unevenness abnormality related to the black part of the broken line of the black pattern BP.

  In the above-described embodiment, the image quality inspection apparatus 1 and the pattern generator externally connected to the display 3 to be inspected are described as an example of an asynchronous method, but the present invention can also be applied to a synchronous method.

  In the above embodiment, the origin coordinate (0, 0) or the predetermined coordinate (0, M) is set as the start coordinate among the pixels on the imaging screen by the broken line extraction unit 22A, and the white pixel 41A is searched. A broken line upper side 40A and a broken line lower side 40B were identified. However, since the pixel area including the upper side 40A of the broken line and the lower side 40B of the broken line on the imaging screen can be identified based on the dimensions of the display 3 stored in the parameter storage area 13A and the white and black broken line pitches of the broken line pattern 40, White pixels may be sequentially searched in the pixel area. In this case, the time required for extracting the white pixel 41A that specifies the upper side 40A and the lower side 40B of the broken line can be shortened.

  In the above-described embodiment, the upper side 40A of the broken line is specified by the broken line extraction unit 22A, and then the lower side 40B of the broken line is specified. However, the lower side 40B may be specified.

  In the above embodiment, the white pixel 41A is extracted from the pixels on the imaging screen, and the pixel coordinates of the white pixel 41A are stored in the white pixel storage area 13C. However, when the luminance difference of each pixel is a predetermined threshold, that is, 50% or more of the maximum luminance value, the pixel coordinate may be stored in the white pixel storage area 13C as the pixel candidate of the broken line pattern 40. Then, the broken line extraction unit 22A may extract the white pixel 41 from the pixel candidates of the broken line pattern 40, and store the pixel coordinates of the broken line upper side 40A and the broken line lower side 40B in the broken line candidate storage area 13D.

  In the above-described embodiment, the upper broken line 40A and the lower broken line 40B are specified using the white pixel 41C that is the upper broken line 40A candidate and the white pixel 41C that is the lower broken line 40B candidate on the imaging screen. However, the white pixels 41C on the right and left sides of the broken line pattern 40 are extracted, and the left and right sides of the broken line pattern 40 are specified using these white pixels 41C. Further, the upper side 40A of the broken line and the lower side 40B of the broken line may be specified by a straight line of 90 degrees with respect to the left side and the right side of the specified broken line pattern 40.

  Further, in the above-described embodiment, the inspection pattern P to be inspected is selected using the specified upper broken line side 40A and lower broken line side 40B. However, the right side and lower side of the broken line pattern 40 are identified, and the identified broken line pattern 40 is identified. The inspection pattern P may be selected using the right side and the left side.

  Moreover, in the said Example, when the predetermined center range of the test | inspection pattern P was a white pixel, it determined with the white pattern WP. However, when the entire screen area of the inspection pattern P is a white pixel, it may be determined as the white pattern WP. Further, the average value of the luminance values of the entire screen area of the inspection pattern P is calculated. When the average value is equal to or greater than a predetermined threshold, the inspection pattern P is determined to be the white pattern WP, and when the average value is less than the predetermined threshold, The inspection pattern P may be determined as the black pattern BP.

  In addition, the image quality inspection apparatus 1 of the above embodiment includes the imaging unit 11A. However, the imaging unit 11A may be separated and connected to the imaging unit 11A through an external interface.

  In addition, each component of each part illustrated does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each part is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed / integrated in arbitrary units according to various loads and usage conditions. Can be configured.

  Furthermore, various processing functions performed in each device are performed on a CPU (Central Processing Unit) (or a microcomputer such as an MPU (Micro Processing Unit), MCU (Micro Controller Unit), etc.) in whole or in part. You may make it perform. Various processing functions may be executed entirely or arbitrarily on a program that is analyzed and executed by a CPU (or a microcomputer such as an MPU or MCU) or hardware based on wired logic. Needless to say.

  By the way, the various processes described in the present embodiment can be realized by executing a prepared program on a computer. Therefore, in the following, an example of a computer that executes a program having the same function as the above embodiment will be described. FIG. 12 is an explanatory diagram of a computer that executes an image quality inspection program.

  A computer 100 that executes the image quality inspection program illustrated in FIG. 12 includes a hard disk drive (HDD) 110, a random access memory (RAM) 120, a read only memory (ROM) 130, and a CPU 140. Furthermore, the computer 100 includes an operation unit 150, a display unit 160, and a communication unit 170. In the computer 100, the HDD 110, the RAM 120, the ROM 130, the CPU 140, the operation unit 150, the display unit 160, and the communication unit 170 are connected via a bus 180.

  The HDD 110 stores in advance an image quality inspection program that exhibits the same function as in the above-described embodiment. Note that the image quality inspection program may be recorded on a ROM 130 or a computer-readable recording medium instead of the HDD 110. The recording medium may be, for example, a portable recording medium such as a CD-ROM, a DVD disk, or a USB memory, or a semiconductor memory such as a flash memory. As shown in FIG. 12, the image quality inspection program includes an acquisition program 110A, an extraction program 110B, a selection program 110C, and an inspection program 110D. Note that the programs 110A, 110B, 110C, and 110D may be appropriately integrated or distributed in the same manner as each component of the image quality inspection apparatus 1 shown in FIG.

  The CPU 140 reads these programs 110A, 110B, 110C, and 110D from the HDD 110 and executes them on the RAM 120. Then, as shown in FIG. 12, the programs 110A, 110B, 110C, and 110D function as an acquisition process 120A, an extraction process 120B, a selection process 120C, and an inspection process 120D on the RAM 120.

  A camera (not shown) inspects the outer frame of the display screen to be inspected by alternately displaying a white pattern formed by a black broken line and a black pattern formed by a white broken line at the same position as the black broken line. Continuously capture the target screen. Then, the CPU 140 captures a plurality of screens to be inspected from the camera using an external interface (not shown). The CPU 140 extracts a screen in which the upper side of the broken line of the outer frame formed by the broken line matches the lower side of the broken line facing the upper side of the broken line, from the plurality of captured screens. Further, the CPU 140 selects a white pattern and a black pattern from the extracted screen. Further, the CPU 140 executes an image quality inspection for the screen to be inspected based on the selected white pattern and black pattern.

  The CPU 140 extracts a screen in which the upper side of the broken line and the lower side of the broken line of the plurality of captured screens coincide with each other, and selects a white pattern and a black pattern from the extracted screens. Further, the CPU 140 executes an image quality inspection on the inspection target screen based on the selected white pattern and black pattern. As a result, the processing load required for the image quality inspection can be reduced by minimizing the screen required for the image quality inspection.

DESCRIPTION OF SYMBOLS 1 Image quality inspection apparatus 3 Display 11A Imaging part 21 Capture part 22 Extraction part 22A Broken line extraction part 23 Sorting part 24 Inspection part 40 Broken line pattern 40A Broken line upper side 40B Broken line lower side P Inspection pattern WP White pattern BP Black pattern

Claims (4)

In the image quality inspection device,
The screen of the inspection target is continuously imaged in which the outer frame of the screen to be inspected is alternately displayed as a white screen formed with a black broken line and a black screen formed with a white broken line at the same position as the black broken line. Capture,
Among the plurality of captured screens, extract a screen in which a broken line on one side of the outer frame formed by the broken line matches a broken line on the opposite side facing the one side,
Select the white screen and the black screen from the extracted screen,
An image quality inspection method, comprising: causing each process to execute an inspection on a screen to be inspected based on the selected white screen and black screen. The process of executing the inspection on the inspection target screen is as follows:
Inspecting the black portion of the black broken line of the white screen based on the white portion of the pixel of the black broken line of the black screen, and the black screen based on the pixel of the white portion of the black broken line of the white screen The image quality inspection method according to claim 1, wherein an inspection is performed on a black portion of the white broken line. The screen of the inspection target is continuously imaged in which the outer frame of the screen to be inspected is alternately displayed as a white screen formed with a black broken line and a black screen formed with a white broken line at the same position as the black broken line. The capture section
An extraction unit that extracts a screen in which a broken line on one side of the outer frame formed by the broken line and a broken line on the opposite side facing the one side are matched among the plurality of screens captured by the capturing unit;
A selection unit for selecting the white screen and the black screen from the screen extracted by the extraction unit;
An image quality inspection apparatus comprising: an inspection unit that performs an inspection on the screen to be inspected based on the white screen and the black screen selected by the selection unit. An image quality inspection program for causing a computer to execute an inspection on a screen to be inspected,
The screen of the inspection target is continuously imaged in which the outer frame of the screen to be inspected is alternately displayed as a white screen formed with a black broken line and a black screen formed with a white broken line at the same position as the black broken line. Capture,
Among the plurality of captured screens, extract a screen in which a broken line on one side of the outer frame formed by the broken line matches a broken line on the opposite side facing the one side,
Select the white screen and the black screen from the extracted screen,
An image quality inspection program that causes the computer to execute each process for executing an inspection on a screen to be inspected based on the selected white screen and black screen.