KR20240077843A - Image testing apparatus and method - Google Patents

Abstract

We present an imaging test device and method that can confirm image shifting through image inspection or identify a failure of the test object or a failure of the image test device through self-diagnosis. The presented device includes a storage module configured to store test information including a reference image, information on a plurality of reference lines preset for the reference image, and information on an intersection point between the multiple reference lines; a communication module configured to transmit a reference image to an image controller and receive a target image from the image controller; and compare the target image and the reference image to determine whether they match, and if there is a mismatch, determine whether the target image is shifted relative to the reference image based on the test information, calculate shifting information indicating the degree of shifting, and calculate It includes a processor that converts one of the target image and the reference image based on the shifted information, and compares the converted image with the other unconverted image.

Description

Image testing apparatus and method}

The present invention relates to an image testing device and method, and more specifically, to a device and method that can detect the presence of image shifting and respond to it.

During video inspection, video input/output inspection checks whether the video input and output of the video controller that is the test target (video controller) is properly performed even if image shifting exists, and checks whether the video of the test target (video controller) meets the expected level of quality. It must be possible to separate the results through image quality inspection.

However, when comparing the image received from the test subject (image controller) with the reference image, it is difficult to check whether the two images are the same.

Since the video input to the test object (video controller) is a digital image, constant data is sent, so the test object (video controller) must maintain constant quality.

It can be difficult for humans to determine image shifting, and it is necessary to check how much shifting has occurred.

The matters described in the above background technology are intended to aid understanding of the background of the invention and may include matters that are not disclosed prior art.

Prior art 1: Republic of Korea Patent No. 10-0963614 (2010.06.07) Prior Art 2: Republic of Korea Patent No. 10-0798834 (January 22, 2008) Prior Art 3: Republic of Korea Patent No. 10-1215045 (December 17, 2012) Prior Art 4: Republic of Korea Patent No. 10-0824711 (April 17, 2008)

The present invention was proposed in consideration of the above-described conventional circumstances, and is an image testing device and method that allows checking image shifting through image inspection or identifying a failure of the test object or a failure of the image test device through self-diagnosis. The purpose is to provide.

In order to achieve the above object, an image testing device according to a preferred embodiment of the present invention includes a reference image, information on a plurality of reference lines preset for the reference image, and information on the intersection between the multiple reference lines. a storage module configured to store information; a communication module configured to transmit the reference image to an image controller and receive a target image from the image controller; and comparing the target image and the reference image to determine whether they match, and when the determination result does not match, determining whether to shift the target image with respect to the reference image based on the test information, and determining whether to shift. Calculate shifting information indicating the degree of shifting, convert one of the target image and the reference image based on the calculated shifting information, and compare the converted image with another unconverted image. It includes a processor that does.

The processor may compare the converted image with another unconverted image and, if they do not match, determine that the image controller is broken.

The information of the plurality of reference lines includes the pixel position of each of the plurality of reference lines and the pixel value of the pixel position of each reference line, and the information of the intersection point between the plurality of reference lines includes the pixel position of the intersection point between the plurality of reference lines and the corresponding intersection point. Includes the pixel value of the pixel position, and the plurality of reference lines are two or more in each of the horizontal and vertical directions in the reference image, but the horizontal reference line and the vertical reference line are orthogonal to each other, and the horizontal reference line is The number of pixels in the vertical direction may be smaller than that of the reference image, and the reference line in the vertical direction may be formed less than the number of pixels in the horizontal direction of the reference image.

The processor extracts a plurality of lines in horizontal and vertical directions from the target image, extracts a plurality of reference lines in preset horizontal and vertical directions from the reference image, and selects pixels of the plurality of lines extracted from the target image. By comparing the value with the pixel values of the reference lines extracted from the reference image and checking whether a line with the same pixel pattern as the first reference line exists among the multiple reference lines of the reference image in the target image, the target image and the reference It is possible to determine whether there is a match between images.

When the determination result is inconsistent, the processor detects a line with the highest pattern matching rate with the first reference line in the target image, and sets the coordinates of a first intersection of the first reference line relative to the first intersection of the detected line. detecting and checking whether the pixel value of the first intersection of the detected first reference line matches the pixel value of the first intersection of the detected line, so that the target image with respect to the reference image is determined based on the test information. You can determine whether or not there is shifting.

The processor may calculate shifting information indicating the degree of shifting based on the coordinates of the first intersection of the detected line and the coordinates of the first intersection of the first reference line.

If the pixel value of the first intersection of the detected first reference line matches the pixel value of the first intersection of the detected line, the processor determines the second intersection of the first reference line relative to the second intersection of the detected line. The coordinates may be detected, and it may be further confirmed whether the pixel value of the second intersection of the detected first reference line matches the pixel value of the second intersection of the detected line.

The processor compares the converted image with another unconverted image and, if they match, outputs the first image through the output terminal while the input terminal and the output terminal are electrically connected to each other, receives the input from the input terminal, and outputs the first image. A self-diagnosis mode may be additionally performed to determine whether shifting has occurred between the first image and the received first image.

When it is determined that shifting has occurred between the output first image and the input first image, the processor restores shifting of the input first image, replicates the image before shifting occurred, and creates the copied image. is output through the output terminal and input to the input terminal, and if shifting occurs in the input image, it can be determined that the image test device is broken.

Meanwhile, the image test method according to a preferred embodiment of the present invention is an image test method performed in an image test device, and includes a reference image, information on a plurality of reference lines preset for the reference image, and an intersection point between the multiple reference lines. storing test information containing information; transmitting the reference image to an image controller; Receiving a target image from the image controller; Comparing the target image and the reference image to determine whether they match; When the determination result is inconsistent, determining whether to shift the target image with respect to the reference image based on the test information; calculating shifting information indicating the degree of shifting according to the determination of whether or not there is shifting; converting one of the target image and the reference image based on the calculated shifting information; and comparing the converted image with another unconverted image.

According to the present invention with this configuration, image shifting can be confirmed and the degree of image shifting can be calculated by performing an image inspection with the target image using a plurality of reference lines and intersection points preset for the reference image.

Additionally, if image shifting is not performed, it is possible to determine whether the image controller under test is broken or the video test device is broken.

Figure 1 is a system configuration diagram to which an imaging test device according to an embodiment of the present invention is applied.
Figure 2 is a diagram illustrating a plurality of reference lines and intersection points set in a reference image in an embodiment of the present invention.
Figure 3 is a diagram showing an example of a reference image in an embodiment of the present invention.
Figure 4 is a diagram showing an example of image shifting in an embodiment of the present invention.
Figure 5 is a diagram showing another example of image shifting in an embodiment of the present invention.
Figure 6 is a diagram illustrating a target image shifted by (x, y) in an embodiment of the present invention.
Figures 7 and 8 are flow charts for explaining an image testing method according to an embodiment of the present invention.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail.

However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention.

The terms used in this application are only used to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by a person of ordinary skill in the technical field to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted in an ideal or excessively formal sense unless explicitly defined in the present application. No.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the attached drawings. In order to facilitate overall understanding when describing the present invention, the same reference numerals are used for the same components in the drawings, and duplicate descriptions for the same components are omitted.

Figure 1 is a system configuration diagram to which an image testing device according to an embodiment of the present invention is applied, Figure 2 is a diagram illustrating a plurality of reference lines and intersection points set in a reference image in an embodiment of the present invention, and Figure 3 is a diagram according to the present invention is a diagram showing an example of a reference image in an embodiment of the present invention, Figure 4 is a diagram showing an example of image shifting in an embodiment of the present invention, and Figure 5 is a diagram showing another example of image shifting in an embodiment of the present invention. 6 is a diagram illustrating a target image shifted by (x, y) in an embodiment of the present invention.

The system of FIG. 1 may include a user terminal 10, an image controller 20, and an image testing device 30.

The user terminal 10 is a computing device with an arithmetic processing function and may be a mobile device or a fixed device. For example, the user terminal 10 may mean a computer, personal computer (PC), smartphone, navigation, laptop computer, tablet computer, wearable device, or tablet, but embodiments of the present invention are not limited thereto.

The user terminal 10 can exchange data with the imaging test device 30 according to a wireless communication network or a wired communication network.

For example, wireless communication networks include Wireless LAN (WLAN), Wireless Broadband (Wibro), WCDMA (Wideband CDMA), IEEE 802.16, Long Term Evolution (LTE), LTE-A (Long Term Evolution-Advanced), Bluetooth, RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra-Wideband), ZigBee, Near Field Communication (Near) It may include, but is not limited to, Field Communication (NFC)), Ultrasound Communication (USC), Visible Light Communication (VLC), and Wi-Fi.

Meanwhile, wired communication networks include wired LAN (Local Area Network), wired WAN (Wide Area Network), Power Line Communication (PLC), USB communication, Ethernet, serial communication, It may include, but is not limited to, optical/coaxial cable communication.

The user terminal 10 can receive a message indicating that the video controller 20 is broken from the video test device 30 and display the received message on the screen.

Additionally, the user terminal 10 may receive a message from the video testing device 30 indicating that the video testing device 30 is broken, and display the received message on the screen.

Meanwhile, the user terminal 10 may receive a message indicating that entry into the self-diagnosis mode is possible from the imaging test device 30. In addition, the user terminal 10 may transmit a selection signal for entering the self-diagnosis mode to the imaging test device 30.

The image controller 20, as a test object, may receive a reference image from the image test device 30 and transmit the received reference image back to the image test device 30. At this time, the reference image that the image controller 20 transmits back to the image test device 30 is called the target image. The target image becomes an image that is later compared with the reference image in the image test device 30.

At this time, if there is no problem with the image controller 20, the image controller 20 will transmit an image (i.e., target image) identical to the reference image at the time of reception back to the image test device 30.

However, if there is a slight error in the image controller 20, the image controller 20 may retransmit an image (i.e., target image) in which the reference image at the time of reception has been shifted to some extent to the image test device 30. there is.

If there is a serious malfunction in the image controller 20 (e.g., driver or hardware problem), an image (i.e., target image) with a certain portion missing or broken may be transmitted back to the image test device 30.

Of course, if there is a serious failure in the video controller 20, the target video may not be transmitted at all.

The video test device 30 can perform an video test on the video controller 20, which is a test subject. That is, the video test device 30 can provide a reference video to the video controller 20 and receive a target video transmitted from the video controller 20. In addition, the image test device 30 can confirm image shifting or calculate the degree of image shifting through comparison between the reference image and the target image, and can detect a failure of the image controller 20 or the corresponding image test device 30. can be identified and informed.

The video test device 30 can generate and transmit images by simulating a camera.

The imaging test device 30 may include a storage module 32, a communication module 34, and a processor 36.

The storage module 32 can store a predetermined reference image. Here, the reference image is updateable.

Meanwhile, the storage module 32 may store test information including information on a plurality of baselines preset for the reference image and information on intersection points between the plurality of baselines.

Here, the information on the multiple reference lines may include pixel positions of each of the multiple reference lines and pixel values of the pixel positions of each reference line. Information on the intersection point between multiple reference lines may include a pixel location of the intersection point between multiple reference lines and a pixel value of the pixel location of the intersection point.

That is, as illustrated in FIG. 2, the reference image may have multiple reference lines (line 1, line 2, line 3, line 4) and intersection points (point 1, point 2, point 3, and point 4) set in advance. .

In other words, before image testing (inspection), multiple reference lines (eg, line 1, line 2, line 3, line 4) may be set in the reference image. Here, the vertical reference line (line 1) and the reference line (line 2) are spaced apart from each other in parallel. The horizontal reference line (line 3) and the reference line (line 4) are parallel to each other and spaced apart. Among multiple reference lines (eg, line 1, line 2, line 3, and line 4), line 1 may be referred to as the first reference line.

Additionally, the vertical reference lines (line 1, line 2) and the horizontal reference lines (line 3, line 4) may be set to be orthogonal to each other.

Preferably, two or more vertical reference lines can be set, but it is better to have fewer pixels than the horizontal pixels of the reference image. Two or more horizontal reference lines can be set, but it is better to have fewer pixels than the vertical pixels of the reference image.

The communication module 34 may transmit a reference image to the image controller 20 and receive a target image from the image controller 20.

Preferably, the communication module 34 can capture the received target image in units of certain frames. Of course, capturing the above-described target image in units of certain frames may be performed by the processor 36, which will be described later.

The processor 36 can perform image inspection using images captured in the communication module 34. Here, since the captured image is a target image captured in units of certain frames, it may also be referred to as a target image.

For example, the processor 36 may transmit the reference image as illustrated in FIG. 3 to the image controller 20 through the communication module 34. Additionally, the processor 36 can inspect (test) the image by comparing the target image from the image controller 20 received in the communication module 34 with the reference image. At this time, the target image received by the communication module 34 may be a normal target image if there is no abnormality (error, breakdown, etc.) in the image controller 20.

On the other hand, depending on the degree of abnormality (error, failure, etc.) of the image controller 20, the target image received by the communication module 34 is, for example, an image with a blank area as shown in FIG. 4 or an image with a blank area as shown in FIG. 5. The image may be one in which the previous frame or the next frame is partially filled. Of course, the target image is not limited to the images of Figures 4 or 5.

The processor 36 may compare the target image (eg, captured received image) and the reference image to determine whether they match. In other words, the processor 36 extracts a plurality of lines in horizontal and vertical directions from the target image, extracts a plurality of reference lines in preset horizontal and vertical directions from the reference image, and pixels of the plurality of lines extracted from the target image. The values of pixels of the reference lines extracted from the reference image can be compared. For example, the processor 36 may sequentially extract pixels in a horizontal or vertical line from the target image and compare them with pixel values of a plurality of reference lines extracted from the reference image in the order in which they are extracted. Next, the processor 36 determines whether there is a match between the target image and the reference image by checking whether there is a line with the same pixel pattern as the first reference line (e.g., line 1) among the plurality of reference lines of the reference image in the target image. You can. If there is no line in the target image with the same pixel pattern as the first reference line (e.g., line 1) of the reference image, the processor 36 may determine that the target image and the reference image do not match each other. there is.

As described above, there is no difficulty in determining whether or not there is a match with just one reference line among the multiple reference lines (e.g., line 1, line 2, line 3, and line 4) of the reference image. That is, if there is no line in the target image that has the same pixel pattern as the first reference line (eg, line 1) of the reference image, the target image and the reference image will naturally be inconsistent.

Additionally, it is okay to check whether there is a line in the target image that has the same pixel pattern as the remaining reference lines (eg, line 2, line 3, and line 4) of the reference image. In this way, if it is additionally confirmed whether there is a line having the same pixel pattern as the remaining reference lines (e.g., line 2, line 3, line 4), it will be possible to determine whether or not they match more precisely.

Additionally, if the target image and the reference image do not match, the processor 36 may determine whether to shift the target image with respect to the reference image based on test information. As shown in FIG. 6 , further explanation will be given by taking the case where the target image is shifted in the (x, y) direction as an example. When the target image and the reference image do not match, the processor 36 detects a line (eg, line 1') with the highest pattern matching rate with the first reference line (line 1) of the reference image from the target image. In this case, when the target image is sequentially compared with the pixel values of the first reference line (line 1) of the reference image by pixels in a horizontal or vertical line, the line with the highest pattern matching rate (e.g., line 1') is detected. can do.

In addition, there are multiple intersection points (point 1', point 3') in the detected line (line 1'), and the processor 36 selects the first intersection point (e.g., point 1') relative to the first intersection point (e.g., point 1') of the detected line. The coordinates of the first intersection (point 1) of the reference line are detected. Next, the processor 36 checks whether the pixel value of the first intersection (point 1) of the detected first reference line matches the pixel value of the first intersection (point 1') of the detected line.

If the pixel value of the first intersection (point 1) of the detected first reference line matches the pixel value of the first intersection (point 1') of the detected line, the processor 36 determines that the target image is relative to the reference image. It may be determined that the reference image has shifted by (x, y) or by (x, y) with respect to the target image. Since the degree of shifting can be determined in this way, the processor 36 determines the coordinates of the first intersection point (point 1') of the detected line (line 1') and the first intersection point (point 1') of the first reference line (line 1) relative to the coordinates. Based on the coordinates of point 1), shifting information indicating the degree of shifting between the reference image and the target image can be calculated.

Meanwhile, the processor 36, if the pixel value of the first intersection (e.g., point 1) of the first reference line detected as above and the pixel value of the first intersection (e.g., point 1') of the detected line, match, another You can also check whether intersections match. For example, the processor 36 may determine another intersection of the first baseline (e.g., point 3; detect the coordinates of the second intersection. Then, the processor 36 further checks whether the pixel value of the second intersection point (point 3) of the detected first reference line matches the pixel value of the second intersection point (point 3') of the detected line. In this way, if multiple intersection points between the reference image and the target image are checked for coincidence, it is possible to determine more accurately whether the target image is shifting with respect to the reference image. In addition, in this way, the processor 36 can calculate the coordinates of a plurality of intersection points relative to each other between the reference image and the target image, so that shifting information indicating the degree of shifting between the reference image and the target image can be calculated more accurately. .

Furthermore, the processor 36 selects lines (e.g., line 2', line 3', and line 4') having the same pixel pattern as reference lines (e.g., line 2, line 3, and line 4) other than the first reference line. is detected in the target image, and the pixel value of the intersection of the detected lines (point 2', point 3', point 4') and the intersection of other reference lines (e.g., line 2, line 3, and line 4) (point 2, You can check whether the pixel values of points 3 and 4) match.

After the shifting decision, the processor 36 converts (restores) one of the target image and the reference image based on the calculated shifting information, compares the converted image with the other unconverted image, and outputs the result. can do. Here, the processor 36 will convert the target image by the shifting information or the reference image by the shifting information.

The processor 36 compares the converted image (e.g., target image) with another unconverted image (e.g., reference image). If they do not match, the processor 36 determines that the image controller 20 is broken and provides a corresponding A message can be created and transmitted to the user terminal 10 through the communication module 34. Accordingly, by checking the message through the user's terminal 10, the user can recognize that the video controller 20 is broken and inspect the video controller 20.

If the converted image and another unconverted image match each other, the processor 36 generates a message indicating that the self-diagnosis mode can be entered and sends it to the user terminal 10 through the communication module 34. It can be sent to . Accordingly, the user can select to enter the self-diagnosis mode after electrically connecting the input and output terminals of the imaging test device 30.

The processor 36 performs the self-diagnosis mode upon receiving a signal requesting entry into the self-diagnosis mode from the user terminal 10.

To perform the self-diagnosis mode, the user first directly electrically connects the input terminal and output terminal of the imaging test device 30. Then, the processor 36 performs a self-diagnosis mode. For example, the first image (which may be a reference image or another image) is output through the output terminal and received through the input terminal. Next, the processor 36 determines whether shifting has occurred in the received first image. Hereinafter, the input first image is referred to as the target image. Here, the method of determining whether image shifting has occurred can be fully understood as determining whether or not the target image is shifted relative to the reference image based on the test information described above.

If it is determined that image shifting as illustrated in FIG. 6 has occurred in the target image (i.e., the received first image), the processor 36 performs a recovery mode operation.

That is, in the recovery mode, the margin of the received target image (i.e., the received first image) can be changed by the shifted (x, y) pixel to simulate the image before the shifting occurred. Here, changing the margin of the received target image (i.e., the received first image) may mean restoring the received target image to its state before shifting.

After the recovery mode, the processor 36 outputs the simulated image through the output terminal and receives it through the input terminal. Since the self-diagnosis cannot be considered to have been accurately performed using only the first image, the self-diagnosis is performed once more using the simulated image.

Even after attempting to input and output the simulated image in this way, an empty area as much as the margin has changed appears in the received image as shown in FIG. 4, or an area as much as the margin has changed is filled with previous/next frames as shown in FIG. 5. If so, the processor 36 determines that the image test device 30 is broken. Then, the processor 36 may generate a corresponding message and transmit it to the user terminal 10 through the communication module 34. Accordingly, by checking the message through his terminal 10, the user can recognize that the video test device 30 is broken and inspect the video test device 30.

Figures 7 and 8 are flow charts for explaining an image testing method according to an embodiment of the present invention.

First, predetermined test information is set in the reference image (S10). Here, the test information may include information on a plurality of baselines for the reference image and information on intersection points between the plurality of baselines.

The video test device 30 transmits the reference video to the video controller 20, which is the test target (S20).

The video controller 20 uses the received reference video as a target video and transmits it to the video test device 30 (S30). At this time, if there is no problem with the image controller 20, the image controller 20 will transmit an image (i.e., target image) identical to the reference image at the time of reception back to the image test device 30. However, if there is a slight error in the image controller 20, the image controller 20 may retransmit an image (i.e., target image) in which the reference image at the time of reception has been shifted to some extent to the image test device 30. there is. If there is a serious malfunction in the image controller 20 (e.g., driver or hardware problem), an image (i.e., target image) with a certain portion missing or broken may be transmitted back to the image test device 30.

The image test device 30 receives the target image from the image controller 20 (S40).

Then, the image testing device 30 compares the reference image and the target image to determine whether they match (S50). For example, the image testing device 30 may sequentially extract pixels in a horizontal or vertical line from the target image and compare them with the pixel values of a plurality of reference lines extracted from the reference image in the order in which they are extracted. Next, the image testing device 30 determines whether there is a match between the target image and the reference image by checking whether a line with the same pixel pattern as the first reference line (e.g., line 1) exists among the plurality of reference lines of the reference image in the target image. You can judge. If there is no line in the target image with the same pixel pattern as the first reference line (e.g., line 1) of the reference image, the image testing device 30 determines (determines) that the target image and the reference image do not match each other. can do.

In this case, when the target image and the reference image do not match, the image test device 30 determines whether to shift the target image with respect to the reference image based on the test information (S60).

Accordingly, the image testing device 30 can determine that the target image has shifted by (x, y) with respect to the reference image. Of course, the image testing device 30 may conversely determine that the reference image has shifted by (x, y) with respect to the target image.

Then, the image testing device 30 calculates shifting information indicating the degree of shifting between the reference image and the target image (S70).

Thereafter, the image test device 30 converts (restores) one of the target image and the reference image based on the calculated shifting information (S80). Here, the image testing device 30 will convert the target image by the shifting information or the reference image by the shifting information.

Then, the image testing device 30 compares the converted image (eg, target image) with another unconverted image (eg, reference image) (S90).

If the converted image and other unconverted images do not match (“No” in S100), the image test device 30 determines that the image controller 20 is broken (S110). Accordingly, the video test device 30 generates a corresponding message and transmits it to the user terminal 10. Accordingly, by checking the message through the user's terminal 10, the user can recognize that the video controller 20 is broken and inspect the video controller 20.

Meanwhile, if the converted image matches the other unconverted image (“Yes” in S100), the image test device 30 generates a message indicating that it is possible to enter the diagnosis mode for the image test device 30. It is transmitted to the user terminal 10 (S120).

The imaging test device 30 performs a self-diagnosis mode upon receiving a signal requesting entry into the self-diagnosis mode from the user terminal 10 (S130).

In order to perform the self-diagnosis mode, the user first directly electrically connects the input and output terminals of the image test device 30, and then the image test device 30 displays the first image (for example, it may be a reference image or another image). ) is output through the output terminal and received through the input terminal.

Next, the image testing device 30 determines whether shifting has occurred in the input first image (that is, becoming the target image) (S140).

If it is determined that image shifting as illustrated in FIG. 6 has occurred in the target image (i.e., the received first image), the image testing device 30 performs a recovery mode operation (S150). Here, in the recovery mode, the margin of the received target image (i.e., the received first image) can be changed by the shifted (x, y) pixel to simulate the image before shifting occurred.

After the recovery mode, the image test device 30 outputs the simulated image through the output terminal and receives the simulated image through the input terminal. Then, the image test device 30 determines whether the received image is normal (i.e., the same as compared to the input image) (S160).

If the input/output of the simulated image is not normal even after an attempt is made, for example, as shown in FIG. 4, an empty area corresponding to the margin change appears in the received image, or an area equal to the margin changed appears in the previous image as shown in FIG. 5. /If the frame is filled with subsequent frames, the video test device 30 determines that the video test device 30 is broken (S170).

In addition, the video test device 30 may generate a corresponding message and transmit it to the user terminal 10 through the communication module 34. Accordingly, by checking the message through his terminal 10, the user can recognize that the video test device 30 is broken and inspect the video test device 30.

Additionally, the image testing method of the present invention described above can be implemented as computer-readable code on a computer-readable recording medium. Computer-readable recording media include all types of recording devices that store data that can be read by a computer system. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices. Additionally, computer-readable recording media can be distributed across computer systems connected to a network, so that computer-readable code can be stored and executed in a distributed manner. And, functional programs, codes, and code segments for implementing the method can be easily deduced by programmers in the technical field to which the present invention pertains.

The above description is merely an illustrative explanation of the technical idea of the present invention, and various modifications and variations will be possible to those skilled in the art without departing from the essential characteristics of the present invention. Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but are for illustrative purposes, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted in accordance with the claims below, and all technical ideas within the equivalent scope should be construed as being included in the scope of rights of the present invention.

10: user terminal 20: video controller
30: imaging test device 32: storage module
34: communication module 36: processor

Claims (10)

a storage module configured to store test information including a reference image, information on a plurality of reference lines preset for the reference image, and information on an intersection between the multiple reference lines;
a communication module configured to transmit the reference image to an image controller and receive a target image from the image controller; and
The target image and the reference image are compared to determine whether they match, and if the determination result does not match, it is determined whether the target image is shifted with respect to the reference image based on the test information, and the shifting is determined. Calculate shifting information indicating the degree of shifting, convert one of the target image and the reference image based on the calculated shifting information, and compare the converted image with another unconverted image. Including a processor;
Video test device. According to clause 1,
The processor,
As a result of comparing the converted image with another unconverted image, if they do not match, it is determined that the image controller is broken.
Video test device. According to clause 1,
The information of the plurality of reference lines includes a pixel position of each of the plurality of reference lines and a pixel value of the pixel position of each reference line,
Information on the intersection point between the plurality of reference lines includes a pixel position of the intersection point between the plurality of reference lines and a pixel value of the pixel position of the intersection point,
The plurality of reference lines are two or more in each of the horizontal and vertical directions in the reference image, and the horizontal reference lines and the vertical reference lines are orthogonal to each other,
The horizontal reference line is formed with fewer pixels in the vertical direction of the reference image, and the vertical reference line is formed with fewer pixels in the horizontal direction than the reference image.
Video test device. According to clause 3,
The processor,
Extract a plurality of horizontal and vertical lines from the target image, extract a plurality of reference lines in preset horizontal and vertical directions from the reference image, and extract the values of pixels of the multiple lines extracted from the target image and the reference line. Compare the pixel values of the reference lines extracted from the image and check whether there is a line with the same pixel pattern as the first reference line among the multiple reference lines of the reference image in the target image, thereby determining whether there is a match between the target image and the reference image. to judge,
Video test device. According to clause 4,
The processor,
If the above judgment results are inconsistent,
Detect the line with the highest pattern matching rate with the first reference line in the target image, detect the coordinates of the first intersection of the first reference line relative to the first intersection of the detected line, and detect the coordinates of the first intersection of the first reference line and the detected first reference line. Determining whether to shift the target image with respect to the reference image based on the test information by checking whether the pixel value of the first intersection matches the pixel value of the first intersection of the detected line,
Video test device. According to clause 5,
The processor,
Calculating shifting information indicating the degree of shifting based on the coordinates of the first intersection of the detected line and the coordinates of the first intersection of the first reference line,
Video test device. According to clause 5,
The processor,
If the pixel value of the first intersection of the detected first reference line matches the pixel value of the first intersection of the detected line, detect the coordinates of the second intersection of the first reference line relative to the second intersection of the detected line, and , additionally checking whether the pixel value of the second intersection of the detected first reference line matches the pixel value of the second intersection of the detected line,
Video test device. According to clause 1,
The processor,
If the converted image and the other unconverted image are compared and match, the first image is output through the output terminal while the input terminal and the output terminal are electrically connected to each other, and the first image is input to the input terminal and the output first image Additionally performing a self-diagnosis mode to determine whether shifting has occurred between the received first images,
Video test device. According to clause 8,
The processor,
As it is determined that shifting has occurred between the output first image and the input first image, the shifting of the input first image is restored, the image before the shifting occurred is copied, and the copied image is sent to the output terminal. It is output through the input terminal, and if shifting occurs in the input image, it is determined that the image test device is broken.
Video test device. An imaging test method performed in an imaging testing device, comprising:
Storing test information including a reference image, information on a plurality of baselines preset for the reference image, and information on intersection points between the plurality of baselines;
transmitting the reference image to an image controller;
Receiving a target image from the image controller;
Comparing the target image and the reference image to determine whether they match;
When the determination result is inconsistent, determining whether to shift the target image with respect to the reference image based on the test information;
calculating shifting information indicating the degree of shifting according to the determination of whether or not there is shifting;
converting one of the target image and the reference image based on the calculated shifting information; and
Comprising the converted image and another unconverted image.
Video test method.

Images