CN114638831B - Image analysis method and device - Google Patents
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- G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
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Abstract
The application discloses an image analysis method and device. The method comprises the following steps: a time schedule controller for controlling the video signal source to output the specific image to the display screen; the time sequence controller is used for driving the display screen to display a specific image; acquiring a display image of a display screen acquired by an image acquisition device; and performing image difference analysis on the output specific image and the acquired display image to generate a visual quality evaluation result of the display screen according to the analysis result. According to the image analysis method provided by the embodiment of the application, objective data support can be provided for the simulation and debugging process, and the evaluation efficiency of the visual quality of the display screen is improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an image analysis method and apparatus.
Background
With the increasing improvement of the screen image resolution and the refresh rate of the display screen, the system simulation and debugging of the functional chip of the display screen are more and more challenged, the traditional method of judging whether the display screen has quality problems by naked eyes lacks objective data support, and the evaluation of the visual quality of the display screen is inefficient.
Disclosure of Invention
The application provides an image analysis method and device, which can improve the processing efficiency of a visual quality evaluation mode of a display screen.
A first aspect of the present application provides an image analysis method, including: a time schedule controller for controlling the video signal source to output the specific image to the display screen; the time sequence controller is used for driving the display screen to display the specific image; acquiring a display image of the display screen acquired by an image acquisition device; and performing image difference analysis on the output specific image and the acquired display image to generate a visual quality evaluation result of the display screen according to the analysis result.
A second aspect of the present application provides an image analysis apparatus comprising: the control module is used for controlling the video signal source to output a specific image to the time schedule controller of the display screen; the time sequence controller is used for driving the display screen to display the specific image; the acquisition module is used for acquiring the display image of the display screen acquired by the image acquisition device; and the analysis module is used for carrying out image difference analysis on the output specific image and the acquired display image so as to generate a visual quality evaluation result of the display screen according to the analysis result.
According to the image analysis method and the image analysis device, the screen quality problem can be quickly positioned, the difficulty of evaluating the visual quality of the display screen is reduced, objective data support is provided for the simulation and debugging process, and the efficiency of evaluating the visual quality of the display screen is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application and not to limit the application.
Fig. 1 is a schematic diagram of a system architecture according to an embodiment of the present application.
Fig. 2 is a flowchart of an image analysis method according to an embodiment of the present application.
Fig. 3 is a schematic diagram of a comparison process between image data output by a video signal source and image data acquired by an image acquisition device according to an embodiment of the present application.
Fig. 4 is a flowchart illustrating an image analysis method according to an exemplary embodiment of the present application.
Fig. 5 is a schematic structural diagram of an image analysis apparatus according to an embodiment of the present application.
Fig. 6 is a block diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
The following detailed description of embodiments of the present application will be made with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present application, are given by way of illustration and explanation only, and are not intended to limit the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising 8230; \8230;" comprise 8230; "do not exclude the presence of additional identical elements in any process, method, article, or apparatus that comprises the element.
With the development of image Display technology, the requirements for important technical indicators of Display screens (displays) are increasing. As an example, screen resolution and screen refresh rate are important technical indicators of a display screen. The screen resolution refers to the number of pixel points on a screen, and the higher the resolution value is, the clearer the image is; the screen refresh rate can be understood as the number of times that the electron beam repeatedly scans the image on the screen, and can also be understood as the speed of the flashing of the pixel points in one clock cycle of the display screen, and the higher the refresh rate value is, the smoother the picture of the image displayed on the display screen is, and the better the stability is.
In the embodiment of the present application, the Display screen may be a Liquid Crystal Display (LCD), such as a Twisted Nematic (TN) LCD, a Super-Twisted Nematic (STN) LCD, a Thin Film Transistor (TFT) LCD, and the like. Among them, the TFT-LCD has features of small size, low power consumption, no radiation, relatively low manufacturing cost, etc., and thus is increasingly applied to the high performance display field.
For simplicity of description, the embodiments described herein below illustrate specific flow of the image analysis method by taking a TFT-LCD as an example. The description is not to be construed as limiting the scope or implementation possibilities of the present solution, and the processing of other types of display screens than TFT-LCDs remains the same as for TFT-LCDs.
In some embodiments, a Timing Controller (TCON) on the TFT-LCD may also be referred to as a display control chip, a Timing Controller, a screen driving board, a TCON chip, a TCON system, and the like (the following embodiments may be referred to as a TCON system). The main roles of the TCON system are: and converting the received video signal or image signal into an operating voltage, an operating signal and/or a timing signal required by the TFT-LCD so as to display an image picture in the video signal or image signal to the TFT-LCD.
In the embodiment of the present application, the TCON system is an important component for improving the image quality of the display screen. In some embodiments, the TCON system may further implement a plurality of Control functions, such as at least one of Gamma (Gamma) correction, frame Rate Control (FRC) dithering, motion image Compensation (MEMC), and the like; specifically, gamma correction can be used for correcting the brightness and color temperature of display, and FRC dithering can be used for improving the dynamic definition of pictures, so that a display screen can display richer colors; the MEMC estimates the motion track of an object through a chip and an algorithm, and finally compensates the picture which is not in the video signal source, so that the aim of smoother picture is fulfilled.
In the process of carrying out system simulation and debugging on the TCON system, at least one of the following screen debugging requirements exists: whether the screen has quality problems or not, observing the specific details of the quality problems, and judging whether the debugging result of the display screen accords with the expected effect or not. Illustratively, the screen debugging requirements of the TCON system for displaying screens may include at least one of: detecting and judging whether screen Garbage (Garpage) information exists on a display screen; observing details of a Garpage phenomenon on a screen; and determining whether the Gamma correction result, the FRC dithering result and/or the MEMC processing result of the display screen meet the expected effect.
If system simulation and debugging processing are carried out in a mode of visual observation by an observer, the problems of low detection and debugging efficiency and high difficulty easily occur in the process of detecting whether the display screen has quality problems and judging whether the debugging result of the display screen meets the expected effect; moreover, due to the limitation of the visual level of an ambient light source and observers, the simulation and debugging process is easy to cause misjudgment or missing judgment, so that the screen quality problems such as the detailed process of screen spam formation cannot be observed, and the cause of the garboge problem cannot be quickly positioned; and the simulation and debugging process evaluation lacks objective data support, so that the reliability of simulation and debugging results is low.
Fig. 1 shows a system architecture diagram in an embodiment of the present application. As shown in fig. 1, the system architecture includes: terminal equipment 10, image capture device 20, video signal source 30, display screen 40, backlight system 50 and TCON system 60.
In fig. 1, the terminal device 10 may be connected to the image capturing apparatus 20, the video signal source 30 and the backlight system 50 through control signal lines, the video signal source 30 is connected to the display screen 40 through a flat cable, and the display screen 40 may be placed on the backlight system 50; the image capture device 20, backlight system 50 and display screen 40 are placed inside a small dark room.
In some embodiments, terminal device 10 includes, but is not limited to: personal Computers (PCs), smart phones, tablet computers, personal digital assistants, servers, and the like; the image capturing device 20 may be a camera, a video camera, or the like.
The image pickup device 20 may be a High Speed Camera (High Speed Camera), i.e., a Camera having a frame rate (frames per second, fps) higher than a specific value. High speed cameras have a higher shooting speed and therefore can shoot processes that are particularly short in time and/or particularly fast, thereby making it more advantageous to capture the picture refresh process of the display screen 40.
And a video signal source 30 for outputting a specific image under the control of the terminal device 10, the specific image being displayed by driving the display screen 40 via the TCON system 60.
The Backlight system 50 is used to provide a Backlight source (Backlight) required by the display screen 40 in displaying images, and the quality of the Backlight source affects the lighting effect of the display screen 40. In some embodiments, the backlighting system 50 may be implemented as: a backlight controller including a backlight driving circuit.
It should be understood that the number of devices in the system architecture of fig. 1 is merely illustrative. According to the actual application needs, can carry out nimble adjustment. The present application is not limited to the particular modules described above and shown in fig. 1. For example, in some embodiments, the display screen 40 may also be an Organic Light-Emitting display (OLED), which belongs to a current-type Organic Light-Emitting device that does not need a backlight source (corresponding to the backlight system 50) because it can self-emit Light, and thus has lower power consumption.
For a better understanding of the present application, the following detailed description of the image analysis method according to the embodiments of the present application will be made with reference to the accompanying drawings, and it should be noted that these embodiments are not intended to limit the scope of the present disclosure.
The image analysis method according to the embodiment of the present application may be executed by an electronic device such as a terminal device or a server, and the image analysis method may also be implemented by a processor calling computer-readable program instructions or system software stored in a memory. Alternatively, the image processing method may be performed by a server.
Fig. 2 is a flowchart illustrating an image analysis method according to an embodiment of the present application. As shown in fig. 1, the image analysis method in the embodiment of the present application includes the following steps.
S110, controlling a video signal source to output a specific image to a time sequence controller of a display screen; the time sequence controller is used for driving the display screen to display a specific image.
And S120, acquiring the display image of the display screen acquired by the image acquisition device.
And S130, performing image difference analysis on the output specific image and the acquired display image to generate a visual quality evaluation result of the display screen according to the analysis result.
According to the image analysis method, the video signal source is controlled to start to output the specific signal, the display screen is driven by the TCON system to display the specific image, the image acquisition device is controlled to synchronously cooperate to capture the image displayed by the display screen, the details of the image picture refreshing process can be conveniently analyzed, and the generation reason of the visual quality problem of the display screen can be rapidly positioned.
By the image analysis method, objective data support can be provided for the simulation and debugging process, the reliability of the simulation and debugging result is improved, and the possibility of misjudgment or misjudgment in the simulation and debugging process is reduced; the display image of the display screen acquired by the image acquisition device is easier to observe the detail process formed by the screen quality problem, so that the screen quality problem is quickly positioned; in addition, the image analysis method is not limited by the ambient light source and the vision level of observers, so that the difficulty of image analysis in the simulation and debugging process can be reduced, and the efficiency of finally obtaining the visual quality evaluation result of the display screen is improved.
In some embodiments, the particular image is a particular pattern image. That is, the specific image output by the video signal source 30 may be a specific Pattern (Pattern) image. Illustratively, the Pattern image may be at least one of a solid color, a gray scale, a color bar, or a checkerboard. Compared with a natural image, the Pattern image can show larger change in the contrast or color in the image, so that the accuracy of the image analysis result of the application can be improved.
In some embodiments, step S110 may specifically include the following steps.
S11, configuring signal source parameters of a video signal source and backlight parameters of a backlight controller according to screen debugging requirements; the backlight controller is positioned on one side of the display screen, which is far away from the image acquisition device.
In this step, the signal source parameters of the video signal source include, but are not limited to, at least one of the following parameter items: parameter information such as data strobe signal (DE) parameters, clock (Clock) parameters, timing (Timing), picture frame rate and the like is effectively displayed; the backlight parameters of the backlight system 50 include at least the luminance value and chromaticity coordinates of the backlight, etc.
Illustratively, timing information is used to reflect the number of pixel points of a particular image in a video signal, and may include, for example: horizontal display pixel point number (Hactive) information, horizontal actual pixel point number (Htotal) information, vertical display pixel point number (Vactive) information and vertical actual pixel point number (Vtotal) information.
Illustratively, the frame rate information of the pictures can mean the number of frames transmitted per second of the pictures, and the more the number of frames transmitted per second is, the smoother the motion of the displayed pictures is.
Illustratively, the backlight parameters may include, for example, luminance values and chromaticity coordinates of the backlight. It should be understood that the backlight parameters may also include other backlight-related parameter settings, such as backlight intensity, color, power consumption, etc. optoelectronic parameters.
And S12, controlling the backlight controller to provide backlight for the display screen according to the backlight parameters, and controlling the video signal source to output the specific image to the time schedule controller of the display screen according to the signal source parameters.
In this embodiment, the terminal device 10 can set the signal source parameters of the video signal source 30 and the backlight parameters of the backlight system 50 according to the screen debugging requirements.
In the embodiment of the application, according to the screen debugging requirement, the terminal device can configure the brightness and chromaticity coordinates of the backlight controller so as to provide backlight for the TFT-LCD through the backlight controller according to the configured backlight parameters; configuring signal source parameters of a video signal source, controlling the video signal source to output a specific Pattern picture according to the configured signal source parameters, driving the TFT-LCD to display the Pattern picture through a TCON system, simultaneously controlling and starting a high-speed camera and receiving image data captured by the high-speed camera under the control of a PC, and after capturing the image data for a preset time, analyzing the difference between the image data sent by the video signal source and the captured image data by the terminal equipment to obtain a difference analysis result; the visual quality evaluation of the display screen is carried out according to the difference analysis result, the difficulty of image analysis in the simulation and debugging process can be reduced, the efficiency of finally obtaining the visual quality evaluation result of the display screen is improved, objective data support can be provided for the simulation and debugging process, and the reliability of the simulation and debugging result is improved.
In some embodiments, the image analysis method may further include: under the condition that the screen debugging requirement is changed, the signal source parameters of the video signal source and the backlight parameters of the backlight controller can be reconfigured; the reconfiguration includes a parameter value adjustment of at least one of a current parameter value of the signal source parameter and a current parameter value of the backlight parameter.
Exemplarily, if only the current parameter value of the backlight parameter is adjusted, in step S12, only the value of the backlight parameter is the parameter adjustment value of the backlight parameter, and the value of the signal source parameter remains unchanged; if only the current parameter value of the signal source parameter is adjusted, the value of the signal source parameter in step S12 is the parameter adjustment value of the signal source parameter, and the value of the backlight parameter remains unchanged; if the current parameter value of the signal source parameter and the current parameter value of the signal source parameter are both adjusted, the value of the backlight parameter and the value of the signal source parameter in step S12 are the parameter adjustment value of the backlight parameter and the parameter adjustment value of the signal source parameter.
In the embodiment of the application, the backlight parameters of the backlight controller can be configured and adjusted, and the signal source parameters of the video signal source can be configured and adjusted, so that the backlight parameters and the signal source parameters can be flexibly configured according to the screen debugging requirements, the picture pain and other information can be conveniently analyzed to be the picture quality problem, objective and comprehensive data support is provided for the image analysis process, the reliability of the visual quality evaluation result is improved, and the possibility of misjudgment or misjudgment in the simulation and debugging process is reduced.
In some embodiments, before step S120, the image analysis method further includes the following steps.
And S21, acquiring current signal source parameters of the video signal source.
And S22, correspondingly adjusting shooting parameters of the image acquisition device according to the current signal source parameters.
In the step, the shooting rate of the image acquisition device can be automatically adjusted according to the configured signal source parameters, and the synchronous matching of the video signal source and the image acquisition device is facilitated. Specifically, under the condition that the video signal source is controlled to be started to output the specific image, the image acquisition device is controlled to synchronously shoot the matched picture image so as to capture the image, so that the output image and the captured image have adaptive parameter standards when image difference analysis is carried out, and the accuracy of an image difference analysis result is improved.
And S23, controlling the image acquisition device to be started, and acquiring the display image of the display screen according to the shooting parameters.
In the embodiment, the synchronous matching of the starting of the video signal source and the starting of the image acquisition device is realized, and the video image refreshing process of the display screen is captured and stored through the image acquisition device such as a high-speed camera; by capturing the comment image, details of an image picture refreshing process can be analyzed conveniently, and the screen quality problem such as the generation reason of the screen Garpage information can be positioned quickly.
In some embodiments, the current signal source parameters include timing information and a picture frame rate, and the correspondingly adjusted photographing parameters include a photographing rate.
Illustratively, timing information and a frame rate of a video signal source can be configured, and system software automatically adjusts the shooting rate of the high-speed camera according to the Timing information, the frame rate and other information of the video signal source, so that the output image and the captured image have adaptive parameter standards, thereby improving the accuracy of the image difference analysis result.
In some embodiments, the starting time of the image acquisition device is not later than the starting time of the video signal source; the starting of the video signal source is used for triggering the video signal source to output a specific image.
Illustratively, the image capture device may be turned on at the same time as the video signal source is turned on; the image acquisition device can also be started in advance before the video signal source is started.
In an actual application scene, a certain delay exists from the time when the Pattern image output by the video signal source is received by the TCON system to the time when the Pattern image is displayed by the display screen, and the delay time is short and is not easy to be captured by naked eyes. In the embodiment of the application, the starting time of the image acquisition device (such as a high-speed camera) is not later than the starting time of the video signal source, and the image acquisition can be carried out on the specific details displayed on the display screen if the Pattern image in the delay time is refreshed, so that the detail process of acquiring the screen quality problem is facilitated, the screen quality problem is quickly positioned, and the image analysis efficiency and the accuracy of the analysis result are improved.
In some embodiments, the image acquisition device, the display screen, and the backlight controller are located in the same darkroom space; the image acquisition device is positioned on one side of the display screen, which is far away from the backlight controller, on an axis which passes through the central position point of the display screen and is vertical to the display screen.
In the embodiment, the image acquisition device, the backlight controller and the display screen are placed in a small darkroom, so that the interference of an ambient light source is eliminated, and the acquisition precision is improved.
In some embodiments, the step S130 may specifically include the following steps.
S31, acquiring at least one display image frame acquired within a preset acquisition time length from the display image, and determining a specific image frame corresponding to each display image frame from the output specific image; s32, calculating a characteristic difference value between each display image frame and the corresponding specific image frame; s33, taking the display image frame with the characteristic difference value larger than a preset difference threshold value as an abnormal frame; and S34, generating a visual quality evaluation result corresponding to the abnormal frame of the display screen.
Illustratively, the feature difference value may be a difference value of specified visual feature data, which may include, for example: characteristic data such as color, gray scale, brightness, etc.; the feature difference value may be measured by displaying a variance or standard deviation between the image frame and the corresponding specific image frame.
In this embodiment, feature difference values of Pattern image data (which may be understood as image frame data marked by a Pattern) output by a video signal source and display image data corresponding to the Pattern image data captured by an image capture device (image frame data obtained by capturing a display screen to display a Pattern image) are calculated to obtain image quality evaluation data within a certain capture time, so as to facilitate quick location of a cause of a garboge problem generated on the display screen.
In some embodiments, steps S102 and S103 described above may be performed synchronously. That is, at the time when the display image corresponding to the specific image captured by the image capturing device is captured in step S102, the step of performing the image difference analysis on the output specific image and the captured display image in step S103 may be started in synchronization.
In this embodiment, the image difference analysis processing between the acquired display image and the specific image may be performed while the display image corresponding to the specific image acquired by the image acquisition device is acquired, which is beneficial to improving the calculation efficiency of image analysis and improving the generation efficiency of the visual quality evaluation result of the display screen.
Fig. 3 shows a schematic comparison flow chart of image data output by a video signal source and image data acquired by an image acquisition device according to an embodiment of the present application. As shown in fig. 3, the image data acquired by the image acquisition device is N image frames, that is, the 1 st frame to the N th frame of the pattern image output by the captured video signal source.
In some embodiments, the image data acquired by the image acquisition device may be referred to as a display image frame. At least one display image frame in the step S31 is N display image frames, where N is an integer greater than or equal to 1; the step S32 may specifically include the following steps.
And S41, acquiring a first display image frame as a current display image frame, and performing summation operation on the characteristic data values of each pixel row acquired line by line in the current display image frame to obtain an operation result of the current display image frame.
And S42, in the specific image frame corresponding to the current display image frame, performing summation operation on the feature data values of each pixel row acquired line by line to obtain an operation result of the specific image frame corresponding to the current display image frame.
And S43, calculating the difference value between the operation result of the current display image frame and the operation result of the corresponding specific image frame to obtain the characteristic difference value between the current display image frame and the corresponding specific image frame.
And S44, acquiring the next display image frame as the current display image frame until the acquisition times are equal to N, and acquiring a feature difference value between each display image frame and the corresponding specific image frame.
Through the steps S41 to S44, the arithmetic operation result S can be obtained by summing the pattern image data captured in the ith frame line by line i And i is an integer greater than or equal to 1 and less than or equal to N. As shown in fig. 3, the pattern image data captured in the 1 st frame is summed line by line to obtain an operation result S 1 (ii) a Carrying out summation operation on the pattern image data captured in the Nth frame line by line to obtain an operation result S N 。
In this embodiment, the variance between each display image frame and the corresponding specific image frame within a certain acquisition time period (variance value is recorded as
) And calculating, wherein if the variance value exceeds a preset variance threshold, the display image frame with the characteristic difference value larger than the preset difference threshold can be used as an abnormal frame, so that image quality evaluation data corresponding to the abnormal frame is generated, a visual quality evaluation result of the display screen is obtained, and the reason why the garpage problem is generated on the display screen is quickly positioned.
In some embodiments, after step S34, the image analysis method may further include: s51, recording the acquisition time of the abnormal frame; s52, positioning the abnormal frame according to the acquisition time; s53, generating the prompt message of the abnormal frame.
In the embodiment, under the condition that the abnormal frame is determined to exist, the occurrence time of the abnormal frame can be recorded and the occurrence of the abnormal frame is prompted, so that the rapid positioning of the screen quality problem is facilitated
In some embodiments, the capture modes of the image acquisition device include a slow motion capture mode; after step S120, the image analysis method further includes: s61, taking the display image of the display screen acquired by the image acquisition device in the slow motion shooting mode as an acquired slow motion image; and S62, playing the acquired slow motion image to serve as a visual quality reference image of the display screen.
Through the steps S61-S62, more visual reference data can be provided for a debugger through the slow motion of picture refreshing, the visual display screen refreshing process can be visually observed, and whether the GARBage exists in the TFT-LCD or not and whether the visual quality meets the expected effect or not can be determined.
In some embodiments, the screen debugging requirements include at least one of: the method comprises the following steps of testing requirements of screen garbage information, evaluating requirements of screen gamma correction results and evaluating requirements of controlling image shaking through a frame rate.
It should be understood that, in an actual application scenario, the screen debugging requirement may be determined according to actual needs, for example, the screen debugging requirement may also be, for example: and observing details of the Garpage phenomenon on the screen, whether the MEMC processing result meets the expected effect, and the like. The embodiments of the present application are not particularly limited.
Fig. 4 is a flowchart illustrating an image analysis method according to an exemplary embodiment of the present application. In some embodiments, the terminal device may configure the luminance and chromaticity coordinates of the backlight controller in advance according to the debugging and verifying requirements, and then configure the system software to automatically adjust the shooting rate of the high-speed camera according to the information such as the frame rate.
In fig. 4, the image analysis method may include the following steps.
S401, the terminal device sets and outputs a mode image.
In this step, the operating system software is started in the terminal device PC, and the set mode image is output to the video signal source.
S402, changing parameters of the video signal source according to the debugging and verifying requirements.
In this step, parameters of the video signal source can be changed by adjusting parameters of the video signal source, such as the DE parameter, clock parameter, timing, and the like.
And S403, capturing an image picture through a high-speed camera.
In the step, the high-speed camera can be started before or simultaneously with the starting of the video signal source, and the picture image data captured by the high-speed camera is transmitted back to the PC in real time and stored.
S404, analyzing and comparing the distinguishing characteristics between the mode image data and the captured image data frame by frame and line by line.
In the step, after the high-speed camera finishes capturing, whether abnormal conditions exist in the picture refreshing process can be analyzed frame by frame and line by line, and an analysis result is obtained; meanwhile, the picture refreshing slow motion can be played, and more visual reference data is provided for a debugger.
In the image analysis method of the embodiment of the application, a backlight controller with configurable brightness and chromaticity coordinates can be used as backlight of a TFT-LCD screen, a high-speed camera captures a picture refreshing process, all devices (the TFT-LCD, the backlight controller and the high-speed camera) are placed in a small dark room with effective shading, a video signal source and the high-speed camera are coordinately controlled through a PC software system, a display image collected by the high-speed camera is used as a test result picture and is sent to and stored in the PC, and the software system in the PC can compare the video signal source with the captured picture to analyze whether garbogage exists and analyze details of the garbogage.
By the image analysis method, the screen quality problem can be quickly positioned, the difficulty of evaluating the visual quality of the display screen is reduced, objective data support is provided for the simulation and debugging process, and the evaluation efficiency of the visual quality of the display screen is improved.
It is understood that the above-mentioned method embodiments can be combined with each other to form a combined embodiment without departing from the principle logic, which is limited by the space and will not be described in detail herein. Those skilled in the art will appreciate that in the above methods of the specific embodiments, the specific order of execution of the steps should be determined by their function and possibly their inherent logic.
In addition, the present application also provides an image analysis apparatus, an electronic device, and a computer-readable storage medium, which can be used to implement any one of the image analysis methods provided in the present application, and the corresponding technical solutions and descriptions and corresponding descriptions in the method sections are not repeated.
An image analysis apparatus according to an embodiment of the present application will be described in detail below with reference to the accompanying drawings.
Fig. 5 shows a schematic structural diagram of an image analysis apparatus provided in an embodiment of the present application. As shown in fig. 5, the image analysis apparatus 500 includes the following modules.
A control module 510, configured to control a timing controller of a video signal source to output a specific image to a display screen; the time sequence controller is used for driving the display screen to display a specific image.
An obtaining module 520, configured to obtain a display image of a display screen acquired by an image acquisition device;
and an analysis module 530, configured to perform image difference analysis on the output specific image and the acquired display image to generate a visual quality evaluation result of the display screen according to the analysis result.
In some embodiments, the control module 510 includes: the parameter configuration unit is used for configuring signal source parameters of a video signal source and backlight parameters of a backlight controller according to the screen debugging requirements; the backlight controller is positioned on one side of the display screen, which is far away from the image acquisition device; the control module 510 is specifically configured to control the backlight controller to provide backlight for the display screen according to the backlight parameter, and control the video signal source to output the specific image to the timing controller of the display screen according to the signal source parameter.
In some embodiments, the image analysis apparatus 500 further comprises: the parameter acquisition module is used for acquiring current signal source parameters of the video signal source before acquiring the display image of the display screen acquired by the image acquisition device; the parameter adjusting module is used for correspondingly adjusting shooting parameters of the image acquisition device according to current signal source parameters; and the acquisition starting module is used for controlling the image acquisition device to be started and acquiring the display image of the display screen according to the shooting parameters.
In some embodiments, the current signal source parameter comprises a frame rate of a picture, and the correspondingly adjusted shooting parameter comprises a shooting rate; the starting time of the image acquisition device is not later than the starting time of the video signal source; the starting of the video signal source is used for triggering the video signal source to output a specific image.
In some embodiments, the particular image is a particular mode image; the image acquisition device, the display screen and the backlight controller are positioned in the same darkroom space; the image acquisition device is positioned on one side of the display screen, which is far away from the backlight controller, on an axis which passes through the central position point of the display screen and is vertical to the display screen; the backlight parameters of the backlight controller comprise at least a luminance value and chromaticity coordinates.
In some embodiments, the analysis module 530 includes: the display image frame acquisition unit is used for acquiring at least one display image frame acquired within a preset acquisition time length from the display image; a specific image frame determining unit for determining a specific image frame corresponding to each of the display image frames from the output specific image; a difference value calculating unit for calculating a feature difference value between each display image frame and the corresponding specific image frame; an abnormal frame determining unit, configured to take the display image frame with the feature difference value greater than a preset difference threshold value as an abnormal frame; and a result generation unit for generating a visual quality evaluation result of the display screen corresponding to the abnormal frame.
In some embodiments, the at least one display image frame is N display image frames, N being an integer greater than or equal to 1.
In this embodiment, the difference value calculating unit is specifically configured to: acquiring a first display image frame as a current display image frame, and performing summation operation on characteristic data values of all pixel rows acquired line by line in the current display image frame to obtain an operation result of the current display image frame; in a specific image frame corresponding to a current display image frame, performing summation operation on characteristic data values of pixel rows acquired line by line to obtain an operation result of the specific image frame corresponding to the current display image frame; calculating the difference value between the operation result of the current display image frame and the operation result of the corresponding specific image frame to obtain the characteristic difference value between the current display image frame and the corresponding specific image frame; and acquiring the next display image frame as the current display image frame until the acquisition times are equal to N, and acquiring the characteristic difference value between each display image frame and the corresponding specific image frame.
In some embodiments, the image analysis apparatus 500 further comprises: the recording module is used for recording the acquisition time of the abnormal frame after generating a visual quality evaluation result of the display screen corresponding to the abnormal frame; the positioning module is used for positioning the abnormal frame according to the acquisition time; and the prompt module is used for generating prompt information of the abnormal frame.
In some embodiments, the capture mode of the image acquisition device comprises a slow motion capture mode; the image analysis apparatus 500 further includes: the slow motion image acquisition module is used for acquiring a display image of the display screen acquired by the image acquisition device in a slow motion shooting mode, and then taking the display image of the display screen acquired by the image acquisition device in the slow motion shooting mode as an acquired slow motion image; and the playing module is used for playing the acquired slow motion image as a visual quality reference image of the display screen.
In some embodiments, the screen debugging requirements include at least one of: the method comprises the steps of screen spam test requirement, screen gamma correction result evaluation requirement and image jitter evaluation requirement through frame rate.
Through the image analysis device of the embodiment of the application, the screen quality problem can be quickly positioned, the difficulty of evaluating the visual quality of the display screen is reduced, objective data support is provided for the simulation and debugging process, and the evaluation efficiency of the visual quality of the display screen is improved.
It should be understood that the present application is not limited to the particular configurations and processes described in the above embodiments and illustrated in the drawings. For convenience and brevity of description, detailed description of a known method is omitted here, and for the specific working processes of the system, the module and the unit described above, reference may be made to corresponding processes in the foregoing method embodiments, which are not described herein again.
Fig. 6 is a block diagram of an electronic device provided in an embodiment of the present application.
Referring to fig. 6, an embodiment of the present application provides an electronic device, including: at least one processor 601; at least one memory 602, and one or more I/O interfaces 603 coupled between the processor 601 and the memory 602; the memory 602 stores one or more computer programs executable by the at least one processor 601, and the one or more computer programs are executed by the at least one processor 601 to enable the at least one processor 601 to perform the image analysis method.
Embodiments of the present application also provide a computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor/processing core, implements the image analysis method described above. The computer readable storage medium may be a volatile or non-volatile computer readable storage medium.
Embodiments of the present application also provide a computer program product, which includes computer readable code or a non-volatile computer readable storage medium carrying computer readable code, when the computer readable code is executed in a processor of an electronic device, the processor in the electronic device executes the image analysis method.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions which, when run on a computer, cause the computer to perform the method described in the above embodiments. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The available media may be magnetic media (e.g., floppy disk, hard disk, magnetic tape), optical media (e.g., DVD), or semiconductor media (e.g., solid state disk), among others.
The above description is only an exemplary embodiment of the present application, and is not intended to limit the scope of the present application. In general, the various embodiments of the application may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. For example, some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device, although the application is not limited thereto.
Embodiments of the application may be implemented by a data processor of a mobile device executing computer program instructions, for example in a processor entity, or by hardware, or by a combination of software and hardware. The computer program instructions may be assembly instructions, instruction Set Architecture (ISA) instructions, machine related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages.
Any logic flow block diagrams in the figures of this application may represent program steps, or may represent interconnected logic circuits, modules, and functions, or may represent a combination of program steps and logic circuits, modules, and functions. The computer program may be stored on a memory. The memory may be of any type suitable to the local technical environment and may be implemented using any suitable data storage technology, such as, but not limited to, read Only Memory (ROM), random Access Memory (RAM), optical storage devices and systems (digital versatile disks, DVDs, or CD discs), etc. The computer readable medium may include a non-transitory storage medium. The data processor may be of any type suitable to the local technical environment, such as but not limited to general purpose computers, special purpose computers, microprocessors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), programmable logic devices (FGPAs), and processors based on a multi-core processor architecture.
It is to be understood that the above embodiments are merely exemplary embodiments adopted to illustrate the principles of the present application, and the present application is not limited thereto. It will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the present application, and such changes and modifications are to be considered within the scope of the present application.
Claims (2)
1. An image analysis method is applied to a terminal device, and comprises the following steps:
a time schedule controller for controlling the video signal source to output the specific image to the display screen; the time sequence controller is used for driving the display screen to display the specific image; the video signal source is connected with the display screen through a flat cable; acquiring a display image of the display screen acquired by an image acquisition device;
performing image difference analysis on the output specific image and the acquired display image to generate a visual quality evaluation result of the display screen according to the analysis result; the terminal equipment is connected with the video signal source, the image acquisition device and the backlight system through control signal lines, and the method further comprises the following steps: under the condition that the screen debugging requirement is changed, adjusting the current parameter value of the signal source parameter of the video signal source and the current parameter value of the backlight parameter of the backlight controller; automatically adjusting the shooting rate of the image acquisition device according to the adjusted signal source parameters;
the timing controller for controlling the video signal source to output a specific image to the display screen includes: configuring signal source parameters of a video signal source and backlight parameters of a backlight controller according to screen debugging requirements; the backlight controller is positioned on one side of the display screen, which is far away from the image acquisition device; the time schedule controller controls the backlight controller to provide backlight for the display screen according to the backlight parameters and controls the video signal source to output the specific image to the display screen according to the signal source parameters;
before acquiring the display image of the display screen acquired by the image acquisition device, the method further comprises: acquiring current parameters of a signal source of the video signal source; correspondingly adjusting shooting parameters of the image acquisition device according to the current parameters of the signal source; controlling the image acquisition device to be started, and acquiring a display image of the display screen according to the shooting parameters;
the current parameter value of the signal source parameter comprises a picture frame rate, and the correspondingly adjusted shooting parameter comprises a shooting rate; the starting time of the image acquisition device is not later than the starting time of the video signal source; the starting of the video signal source is used for triggering the video signal source to output the specific image;
the specific image is a specific mode image; the image acquisition device, the display screen and the backlight controller are positioned in the same darkroom space; the image acquisition device is positioned on one side of the display screen, which is far away from the backlight controller, on an axis which passes through the central position point of the display screen and is vertical to the display screen; the backlight parameters of the backlight controller at least comprise a brightness value and a chromaticity coordinate;
the image difference analysis of the output specific image and the acquired display image to generate a visual quality evaluation result of the display screen according to the analysis result comprises: acquiring at least one display image frame acquired within a preset acquisition time length from the display image, and determining a specific image frame corresponding to each display image frame from the output specific image; calculating a feature difference value between each display image frame and the corresponding specific image frame; taking the display image frame with the characteristic difference value larger than a preset difference threshold value as an abnormal frame; generating a visual quality evaluation result of the display screen corresponding to the abnormal frame;
the at least one display image frame is N display image frames, wherein N is an integer greater than or equal to 1; the calculating the feature difference value between each display image frame and the corresponding specific image frame comprises: acquiring a first display image frame as a current display image frame, and performing summation operation on characteristic data values of all pixel rows acquired line by line in the current display image frame to obtain an operation result of the current display image frame; in a specific image frame corresponding to a current display image frame, carrying out summation operation on characteristic data values of pixel rows acquired line by line to obtain an operation result of the specific image frame corresponding to the current display image frame; calculating a difference value between an operation result of a current display image frame and an operation result of a corresponding specific image frame to obtain a characteristic difference value between the current display image frame and the corresponding specific image frame; acquiring a next display image frame as a current display image frame until the acquisition times are equal to N, and acquiring a characteristic difference value between each display image frame and a corresponding specific image frame;
after generating a visual quality evaluation result of the display screen corresponding to the abnormal frame, the method further comprises: recording the acquisition time of the abnormal frame; positioning the abnormal frame according to the acquisition time; generating prompt information of the abnormal frame;
the shooting mode of the image acquisition device comprises a slow motion shooting mode; after acquiring the display image of the display screen acquired by the image acquisition device, the method further comprises the following steps: taking the display image of the display screen acquired by the image acquisition device in a slow motion shooting mode as an acquired slow motion image to serve as a visual quality reference image of the display screen; playing the collected slow motion image;
the screen debugging requirements include at least one of: the method comprises the steps of screen spam test requirement, screen gamma correction result evaluation requirement and image jitter evaluation requirement through frame rate.
2. An image analysis apparatus, applied to a terminal device, includes:
the control module is used for controlling the video signal source to output a specific image to the time schedule controller of the display screen; the time sequence controller is used for driving the display screen to display the specific image; the video signal source is connected with the display screen through a flat cable;
the acquisition module is used for acquiring the display image of the display screen acquired by the image acquisition device;
the analysis module is used for carrying out image difference analysis on the output specific image and the acquired display image so as to generate a visual quality evaluation result of the display screen according to the analysis result;
the terminal equipment is connected with the video signal source, the image acquisition device and the backlight system through a control signal line, and the analysis module is further used for: under the condition that the screen debugging requirement is changed, adjusting the current parameter value of the signal source parameter of the video signal source and the current parameter value of the backlight parameter of the backlight controller; automatically adjusting the shooting rate of the image acquisition device according to the adjusted signal source parameters;
the control module includes: the parameter configuration unit is used for configuring signal source parameters of the video signal source and backlight parameters of the backlight controller according to the screen debugging requirements; the backlight controller is positioned on one side of the display screen, which is far away from the image acquisition device; the control module is specifically configured to: the time schedule controller controls the backlight controller to provide backlight for the display screen according to the backlight parameters and controls the video signal source to output the specific image to the display screen according to the signal source parameters;
the image analysis apparatus further includes: the parameter acquisition module is used for acquiring the current parameters of the signal source of the video signal source before acquiring the display image of the display screen acquired by the image acquisition device; the parameter adjusting module is used for correspondingly adjusting the shooting parameters of the image acquisition device according to the current parameters of the signal source; the acquisition starting module is used for controlling the image acquisition device to be started and acquiring the display image of the display screen according to the shooting parameters;
the current parameter value of the signal source parameter comprises a picture frame rate, and the correspondingly adjusted shooting parameter comprises a shooting rate; the starting time of the image acquisition device is not later than the starting time of the video signal source; the starting of the video signal source is used for triggering the video signal source to output the specific image;
the specific image is a specific mode image; the image acquisition device, the display screen and the backlight controller are positioned in the same darkroom space; the image acquisition device is positioned on one side of the display screen, which is far away from the backlight controller, on an axis which passes through the central position point of the display screen and is vertical to the display screen; the backlight parameters of the backlight controller at least comprise a brightness value and a chromaticity coordinate;
the analysis module includes: the display image frame acquisition unit is used for acquiring at least one display image frame acquired within a preset acquisition time length from the display image; a specific image frame determining unit for determining a specific image frame corresponding to each display image frame from the output specific image; a difference value calculating unit for calculating a feature difference value between each display image frame and a corresponding specific image frame; an abnormal frame determining unit, configured to take the display image frame with the feature difference value larger than a preset difference threshold value as an abnormal frame; a result generation unit configured to generate a visual quality evaluation result of the display screen corresponding to the abnormal frame;
the at least one display image frame is N display image frames, wherein N is an integer greater than or equal to 1; the difference value calculating unit is specifically configured to: acquiring a first display image frame as a current display image frame, and performing summation operation on characteristic data values of each pixel row acquired line by line in the current display image frame to obtain an operation result of the current display image frame; in a specific image frame corresponding to a current display image frame, performing summation operation on characteristic data values of pixel rows acquired line by line to obtain an operation result of the specific image frame corresponding to the current display image frame; calculating the difference value of the operation result of the current display image frame and the operation result of the corresponding specific image frame to obtain the characteristic difference value between the current display image frame and the corresponding specific image frame; acquiring a next display image frame as a current display image frame until the acquisition times are equal to N, and acquiring a characteristic difference value between each display image frame and a corresponding specific image frame;
the image analysis apparatus further includes: the recording module is used for recording the acquisition time of the abnormal frame after generating a visual quality evaluation result of the display screen corresponding to the abnormal frame; the positioning module is used for positioning the abnormal frame according to the acquisition time; the prompt module is used for generating prompt information of the abnormal frame;
the shooting mode of the image acquisition device comprises a slow motion shooting mode; the image analysis apparatus further includes: the slow motion image acquisition module is used for taking the display image of the display screen acquired by the image acquisition device in a slow motion shooting mode as an acquired slow motion image to be used as a visual quality reference image of the display screen; the playing module plays the acquired slow motion image;
the screen debugging requirements include at least one of: the method comprises the following steps of testing requirements of screen garbage information, evaluating requirements of screen gamma correction results and evaluating requirements of controlling image shaking through a frame rate.
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