WO2018006443A1 - 一种显示屏残影检测系统及其方法 - Google Patents

一种显示屏残影检测系统及其方法 Download PDF

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Publication number
WO2018006443A1
WO2018006443A1 PCT/CN2016/090655 CN2016090655W WO2018006443A1 WO 2018006443 A1 WO2018006443 A1 WO 2018006443A1 CN 2016090655 W CN2016090655 W CN 2016090655W WO 2018006443 A1 WO2018006443 A1 WO 2018006443A1
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Prior art keywords
display screen
image
obtaining
display
energy value
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PCT/CN2016/090655
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English (en)
French (fr)
Inventor
王艳雪
陈黎暄
张静
张云
李岩松
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深圳市华星光电技术有限公司
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Priority to US15/123,680 priority Critical patent/US10242610B2/en
Publication of WO2018006443A1 publication Critical patent/WO2018006443A1/zh

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Classifications

    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/006—Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G06T7/0006—Industrial image inspection using a design-rule based approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30121—CRT, LCD or plasma display
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30204—Marker
    • G06T2207/30208—Marker matrix
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/02—Improving the quality of display appearance
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details

Definitions

  • the present invention relates to the field of display technologies, and in particular, to a screen residual image detecting system and method thereof.
  • the technical problem to be solved by the present invention is to provide a screen residual image detecting system and a method thereof, which can solve the subjectivity of the traditional image rejection based on the human eye, accurately judge and objectively evaluate the severity of the residual image of the display screen.
  • a technical solution adopted by the present invention is to provide a method for detecting a residual image of a display screen, comprising: obtaining a display screen image of a residual image to be detected, wherein the display screen image is a 128 gray scale after an IS experiment.
  • a lower display screen image identifying a position of the display screen in the display screen image, thereby obtaining a display screen portion of the display screen in the display screen image; performing a Fourier transform on the display screen portion, Obtaining, by the display picture part, a first spectral energy value of the characteristic frequency corresponding to the residual image in the frequency domain structure, and acquiring a second spectral energy value of the display picture partial reference frequency in the frequency domain structure; Whether the ratio of a spectral energy value to the second spectral energy value exceeds a value range corresponding to the corresponding detection, and if the data range is exceeded, it is judged as unqualified, otherwise it is qualified.
  • identifying a position of the display screen in the image, and further obtaining a display screen portion of the display screen in the display screen image comprises: adopting a same condition as the display screen image of the residual image to be detected Obtaining a reference frame image that matches the size of the display screen; obtaining, by comparing the reference frame image with the display screen image, identifying a position of the display screen in the display screen image, thereby obtaining the The portion of the display screen of the display screen in the display image.
  • the same condition refers to the same image acquisition device, the same image acquisition parameter, the same shooting position, and the same shooting environment.
  • the reference frequency is zero frequency.
  • identifying the position of the display screen in the display screen image, and further obtaining the display screen portion of the display screen in the display screen image comprises: identifying the display screen in the display screen image Position, using an image cropping algorithm to obtain a portion of the display screen of the display screen in the display image.
  • another technical solution adopted by the present invention is to provide a method for detecting a residual image of a display screen, comprising: obtaining a display screen image of an image to be detected; and identifying the display screen in the image of the display screen a position of the display screen of the display screen in the display screen image; performing a Fourier transform on the display screen portion, and acquiring the characteristic frequency corresponding to the residual image in the display screen portion in the frequency domain structure a first spectral energy value, additionally acquiring a second spectral energy value of the display picture portion reference frequency in the frequency domain structure; determining whether a ratio of the first spectral energy value to the second spectral energy value exceeds a corresponding detection If the qualified value range exceeds the data range, it is judged as unqualified, otherwise it is qualified.
  • the identifying the position of the display screen in the image, and further obtaining the display screen portion of the display screen in the display screen image comprises: using the same condition as the display screen image for obtaining the residual image to be detected a manner of obtaining a reference frame image matching the size of the display screen; obtaining, by comparing the reference frame image with the display screen image, identifying a position of the display screen in the display screen image, thereby obtaining a portion of the display screen of the display screen in the display image.
  • the same condition refers to the same image acquisition device, the same image acquisition parameter, the same shooting position, and the same shooting environment.
  • the reference frequency is zero frequency.
  • identifying the position of the display screen in the display screen image, and further obtaining the display screen portion of the display screen in the display screen image comprises: identifying the display screen in the display screen image Position, using an image cropping algorithm to obtain a portion of the display screen of the display screen in the display image.
  • a display screen residual image detecting system comprising: an obtaining device for obtaining a display screen image of a residual image to be detected; and an extracting device for identifying a position of the display screen in the display screen image, thereby obtaining a display screen portion of the display screen in the display screen image; and an arithmetic device configured to perform Fourier transform on the display screen portion to obtain the
  • the display picture part represents a first spectral energy value of the characteristic frequency corresponding to the residual image in the frequency domain structure, and additionally acquires a second spectral energy value of the display picture partial reference frequency in the frequency domain structure;
  • the determining device is configured to determine the location Whether the ratio of the first spectral energy value to the second spectral energy value exceeds a value range corresponding to the corresponding detection, and if the data range is exceeded, it is determined to be unqualified, otherwise it is qualified.
  • the extracting device includes: an obtaining module, obtains a reference frame image that matches the size of the display screen by using the same condition as the display image of the image to be detected by the obtaining device; and extracting a module, by using the reference frame Comparing an image with the display screen image, obtaining a position of the display screen in the display screen image, thereby obtaining a display screen portion of the display screen in the display screen image.
  • the same condition refers to the same image acquisition device, the same image acquisition parameter, the same shooting position, and the same shooting environment.
  • the reference frequency is zero frequency.
  • the extraction module specifically identifies the position of the display screen in the display screen image, and uses an image cropping algorithm to obtain a display screen portion of the display screen in the display screen image.
  • the invention has the beneficial effects that the display screen residual image detecting system and the method thereof are different from the prior art.
  • the method comprises the steps of: first obtaining a display screen image of the image to be detected, and then identifying the position of the display screen in the display image, thereby obtaining a display portion of the display screen in the display image, and further performing the display portion of the display screen
  • the leaf transform obtains the first spectral energy value of the characteristic frequency corresponding to the residual image in the frequency domain structure, and obtains the second spectral energy value of the reference frequency of the display picture in the frequency domain structure, and finally determines the first spectrum.
  • the present invention obtains the frequency domain structure image processing of the display screen portion, which can solve the subjectivity of the conventional image rejection based on the human eye, accurately judge and objectively evaluate the severity of the residual image of the display screen.
  • Figure 1 is a black and white checkerboard pattern for screen image detection
  • FIG. 2 is a flowchart of a method for detecting a residual image of a display screen according to an embodiment of the present invention
  • 3 is an image of a display screen image of a residual image to be detected after 128 experiments in an IS scale
  • Figure 4 is a reference frame image matching the size of the display screen
  • Figure 5 is a display screen portion of the display screen in the display image
  • FIG. 6 is a schematic structural diagram of a screen residual image detecting system according to an embodiment of the present invention.
  • FIG. 2 is a flowchart of a method for detecting a residual image of a display screen according to an embodiment of the present invention. As shown in FIG. 2, the screen residual image detecting method of this embodiment includes the following steps:
  • Step S1 Obtain a display screen image of the afterimage to be detected. Specifically, the image of the display screen under the 128 gray scale after the IS experiment is obtained, as shown in FIG.
  • Step S2 Recognizing the position of the display screen in the display image, thereby obtaining the display portion of the display screen in the display image.
  • the reference frame image matching the display screen size is obtained by using the same condition as the display image of the residual image to be detected in step S1, as shown in FIG. 4, and then through the reference frame image and the display screen.
  • the position of the display screen is recognized in the display image, and the display portion of the display screen in the display image is obtained as shown in FIG. 5. More specifically, the position of the display screen in the display image is recognized, and the image cropping algorithm is used to obtain the display portion of the display screen in the display image, as shown in FIG.
  • the image clipping algorithm is preferably matlab (matrix) Laboratory, matrix laboratory) image cropping algorithm.
  • the image cropping algorithm of other languages and applications may also be used to obtain the portion of the display screen of the display screen in the display image.
  • the same condition refers to the same image acquisition device, the same image acquisition parameter, the same shooting position, and the same shooting environment.
  • This embodiment preferably takes the following conditions:
  • Camera camera model is Canon600D. Camera parameters: ISO100; color space sRGB; flash off; automatic brightness off; white balance offset or bracketing: 0,0/ ⁇ 0; red-eye reduction on/off: disabled; autofocus mode: real-time mode; Disabled; aspect ratio: 3:2; metering timer: 16 seconds; bass boost: disabled; controlled via HDMI: disabled.
  • the shooting distance is three times the width of the display screen, the shooting direction is perpendicular to the plane of the display screen, and the shooting environment is a dark room.
  • Step S3 Perform Fourier transform on the display screen portion to obtain a first spectrum energy value of the characteristic frequency corresponding to the residual image in the frequency domain structure, and obtain a reference frequency of the display picture part in the frequency domain structure. Two spectral energy values.
  • the reference frequency is a zero frequency
  • the second spectral energy value is a spectral energy value corresponding to the background intensity of the display panel picture.
  • Step S4 determining whether the ratio of the first spectral energy value to the second spectral energy value exceeds a value range corresponding to the corresponding detection. If the data range is exceeded, the determination is unqualified, otherwise it is qualified. In the case of failure, if the ratio is larger, the display screen is more severe.
  • the ratio of the first spectral energy value to the second spectral energy value may be combined with the conventional JND model to determine a critical evaluation value generated by the residual image of the display screen, that is, a numerical range corresponding to the qualified test.
  • a critical evaluation value generated by the residual image of the display screen that is, a numerical range corresponding to the qualified test.
  • the ratio of the obtained first spectral energy value to the second spectral energy value is a critical value for determining whether the residual image occurs.
  • this embodiment performs two standard photographs, one for obtaining the display image of the image to be detected, one for obtaining the reference frame image matching the display size, and comparing the two images to obtain the display of the display screen.
  • the position of the picture part in the display image is further processed in the frequency domain structure to image the display part of the display screen, and the energy value of the characteristic frequency in the IS spectrum is extracted, and the ratio of the value to the zero-frequency energy value is obtained. Thereby improving the objectivity of the determination of the residual image of the display.
  • the embodiment of the invention further provides a display screen residual image detection system, which is suitable for the method described above. See Figure 6 for details.
  • the display afterimage detection system 10 of the present embodiment includes an acquisition device 11, an extraction device 12, an arithmetic device 13, and a determination device 14.
  • the obtaining device 11 is configured to obtain a display screen image of the afterimage to be detected. Specifically, the image of the display screen under the 128 gray scale after the IS experiment is obtained, as shown in FIG.
  • the acquisition device 11 is preferably a device such as a camera that can acquire an image.
  • the extracting device 12 is configured to recognize the position of the display screen in the display image, and thereby obtain the display portion of the display screen in the display image.
  • the extracting device 12 further includes an obtaining module 121 and an extracting module 122.
  • the obtaining module 121 obtains a reference frame image that matches the size of the display screen in the same manner as the display device 11 obtains the display image of the image to be detected, as shown in FIG. 4 .
  • the same condition refers to the same image acquisition device, the same image acquisition parameter, the same shooting position, and the same shooting environment. That is, the acquisition module 121 and the acquisition device 11 use the same image acquisition device.
  • This embodiment preferably takes the following conditions:
  • Camera camera model is Canon600D. Camera parameters: ISO100; color space sRGB; flash off; automatic brightness off; white balance offset or bracketing: 0,0/ ⁇ 0; red-eye reduction on/off: disabled; autofocus mode: real-time mode; Disabled; aspect ratio: 3:2; metering timer: 16 seconds; bass boost: disabled; controlled via HDMI: disabled.
  • the shooting distance is three times the width of the display screen, the shooting direction is perpendicular to the plane of the display screen, and the shooting environment is a dark room.
  • the extraction module 122 obtains the position of the display screen in the display screen image by comparing the reference frame image with the display screen image, thereby obtaining the display screen portion of the display screen in the display screen image. Specifically, the extraction module 122 specifically identifies the position of the display screen in the display image, and uses an image clipping algorithm to obtain a display portion of the display screen in the display image, as shown in FIG. 5 .
  • the image clipping algorithm is preferably matlab (matrix) Laboratory, matrix laboratory) image cropping algorithm.
  • the image cropping algorithm of other languages and applications may also be used to obtain the portion of the display screen of the display screen in the display image.
  • the operation device 13 is configured to perform a Fourier transform on the display screen portion, obtain a first spectrum energy value in the frequency domain structure of the characteristic frequency corresponding to the residual image, and obtain a reference frequency of the display screen portion in the frequency domain structure.
  • the reference frequency is a zero frequency
  • the second spectral energy value is a spectral energy value corresponding to the background intensity of the display panel picture.
  • the determining device 14 is configured to determine whether the ratio of the first spectral energy value to the second spectral energy value exceeds a value range corresponding to the corresponding detection. If the data range is exceeded, the determination is unqualified, otherwise it is qualified. In the case of failure, if the ratio is larger, the display screen is more severe.
  • the ratio of the first spectral energy value to the second spectral energy value may be combined with the conventional JND model to determine a critical evaluation value generated by the residual image of the display screen, that is, a numerical range corresponding to the qualified test.
  • a critical evaluation value generated by the residual image of the display screen that is, a numerical range corresponding to the qualified test.
  • the ratio of the obtained first spectral energy value to the second spectral energy value is a critical value for determining whether the residual image occurs.
  • the present embodiment combines the image acquired by the photograph and the image processing method of the frequency domain structure to detect the residual image of the display screen, which can solve the subjectivity of the traditional image rejection based on the human eye, accurately judge and objectively evaluate the residual image of the display screen.
  • the severity of the situation can solve the subjectivity of the traditional image rejection based on the human eye, accurately judge and objectively evaluate the residual image of the display screen. The severity of the situation.
  • the invention is directed to the IS experiment required by the panel factory, and can be used for the quantitative detection and evaluation of the residual image of the display screen during the IS experiment process, and the quantitative detection and evaluation of the residual image after the IS, which can reduce the labor cost of the IS judgment and Time cost reduces the subjective impact of human judgment.

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Abstract

一种显示屏残影检测系统及其方法。检测包括：获得待检测残影的显示屏图像（S1）；识别出显示屏图像中显示屏的位置，进而获得显示屏图像中显示屏的显示画面部分（S2）；对显示画面部分进行傅里叶变换，获取显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取显示画面部分参考频率在频域结构中的第二频谱能量值（S3）；判断第一频谱能量值与第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出数值范围，则判断为不合格，否则为合格（S4）。检测系统及其方法能够解决传统人眼判断影像残留的主观性，准确判断、客观评价显示屏残影的严重程度。

Description

一种显示屏残影检测系统及其方法
【技术领域】
本发明涉及显示技术领域，特别是涉及一种显示屏残影检测系统及其方法。
【背景技术】
在面板的设计过程中，对其进行影像残留的检测与判定是必不可少的环节，即让panel（面板）在如图1所示的棋盘格画面下点亮168~169小时后，观察某一灰阶的灰阶画面残留的棋盘格画面的严重程度。判定的标准一般为依据人眼判断的JND(Just noticeable difference,最小可觉差)模型，判断结果存在一定的主观因素。
【发明内容】
本发明主要解决的技术问题是提供一种显示屏残影检测系统及其方法，能够解决传统基于人眼判断影像残留的主观性，准确判断、客观评价显示屏残影的严重程度。
为解决上述技术问题，本发明采用的一个技术方案是：提供一种显示屏残影检测方法，包括：获得待检测残影的显示屏图像，其中，显示屏图像为经过IS实验的128灰阶下的显示屏图像；识别出所述显示屏图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分；对所述显示画面部分进行傅里叶变换，获取所述显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取所述显示画面部分参考频率在频域结构中的第二频谱能量值；判断所述第一频谱能量值与所述第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出所述数据范围，则判断为不合格，否则为合格。
其中，识别出所述图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分包括：采用与所述获得待检测残影的显示屏图像同一条件的方式，获得与所述显示屏尺寸匹配的参考框图像；通过所述参考框图像与所述显示屏图像的对比，在所述显示屏图像中获得识别出所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分。
其中，同一条件是指同一图像获取设备、同一图像获取参数、同一拍摄位置以及同一拍摄环境。
其中，所述参考频率是零频。
其中，所述识别出所述显示屏图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分包括：识别出所述显示屏图像中所述显示屏的位置，采用图像剪裁算法获得所述显示屏图像中所述显示屏的显示画面部分。
为解决上述技术问题，本发明采用的另一个技术方案是：提供一种显示屏残影检测方法，包括：获得待检测残影的显示屏图像；识别出所述显示屏图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分；对所述显示画面部分进行傅里叶变换，获取所述显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取所述显示画面部分参考频率在频域结构中的第二频谱能量值；判断所述第一频谱能量值与所述第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出所述数据范围，则判断为不合格，否则为合格。
其中，所述识别出所述图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分包括：采用与所述获得待检测残影的显示屏图像同一条件的方式，获得与所述显示屏尺寸匹配的参考框图像；通过所述参考框图像与所述显示屏图像的对比，在所述显示屏图像中获得识别出所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分。
其中，同一条件是指同一图像获取设备、同一图像获取参数、同一拍摄位置以及同一拍摄环境。
其中，所述参考频率是零频。
其中，所述识别出所述显示屏图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分包括：识别出所述显示屏图像中所述显示屏的位置，采用图像剪裁算法获得所述显示屏图像中所述显示屏的显示画面部分。
为解决上述技术问题，本发明采用的又一个技术方案是：提供一种显示屏残影检测系统，包括：获取装置，用于获得待检测残影的显示屏图像；提取装置，用于识别出所述显示屏图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分；运算装置，用于对所述显示画面部分进行傅里叶变换，获取所述显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取所述显示画面部分参考频率在频域结构中的第二频谱能量值；判断装置，用于判断所述第一频谱能量值与所述第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出所述数据范围，则判断为不合格，否则为合格。
其中，提取装置包括：获取模块，采用与所述获取装置获得待检测残影的显示屏图像同一条件的方式，获得与所述显示屏尺寸匹配的参考框图像；提取模块，通过所述参考框图像与所述显示屏图像的对比，在所述显示屏图像中获得识别出所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分。
其中，同一条件是指同一图像获取设备、同一图像获取参数、同一拍摄位置以及同一拍摄环境。
其中，参考频率是零频。
其中，提取模块具体识别出所述显示屏图像中所述显示屏的位置，采用图像剪裁算法获得所述显示屏图像中所述显示屏的显示画面部分。
本发明的有益效果是：区别于现有技术的情况，本发明提供一种显示屏残影检测系统及其方法。该方法包括以下步骤：首先获得待检测残影的显示屏图像，然后识别出显示屏图像中显示屏的位置，进而获得显示屏图像中显示屏的显示画面部分，进而对显示画面部分进行傅里叶变换，获取显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取显示画面部分参考频率在频域结构中的第二频谱能量值，最后判断第一频谱能量值与第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出数据范围，则判断为不合格，否则为合格。因此，本发明将获得的显示画面部分进行频域结构图像处理，能够解决传统基于人眼判断影像残留的主观性，准确判断、客观评价显示屏残影的严重程度。
【附图说明】
图1是用于显示屏残影检测的黑白棋格状图案；
图2是本发明实施方式提供的一种显示屏残影检测方法的流程图；
图3是待检测残影的显示屏图像经过IS实验后的128灰阶下的图像；
图4是与显示屏尺寸匹配的参考框图像；
图5是显示屏图像中显示屏的显示画面部分；
图6是本发明实施方式提供的一种显示屏残影检测系统的结构示意图。
【具体实施方式】
请参阅图2，图2是本发明实施例提供的一种显示屏残影检测方法的流程图。如图2所示，本实施例的显示屏残影检测方法包括以下步骤：
步骤S1：获得待检测残影的显示屏图像。具体为获得经过IS实验的128灰阶下显示屏图像，如图3所示。
步骤S2：识别出显示屏图像中显示屏的位置，进而获得显示屏图像中显示屏的显示画面部分。
本步骤中，首先采用与步骤S1，获得待检测残影的显示屏图像同一条件的方式，获得与显示屏尺寸匹配的参考框图像，具体如图4所示，然后通过参考框图像与显示屏图像的对比，在显示屏图像中获得识别出显示屏的位置，进而获得显示屏图像中显示屏的显示画面部分如图5所示。更具体的，识别出显示屏图像中显示屏的位置，采用图像剪裁算法获得显示屏图像中显示屏的显示画面部分，如图5所示。
本实施例中，图像剪裁算法优选为matlab（matrix laboratory，矩阵实验室）图像剪裁算法。在其他实施例中，还可以采用其他语言及应用的图像剪裁算法获得显示屏图像中显示屏的显示画面部分。
其中，同一条件是指同一图像获取设备、同一图像获取参数、同一拍摄位置以及同一拍摄环境。本实施例优选取以下同一条件：
相机，相机型号为Canon600D。相机参数：ISO100；色彩空间sRGB；闪光灯关闭；自动亮度关闭；白平衡偏移或者包围：0，0/±0；减轻红眼开/关：禁用；自动对焦模式：实时模式；显示网格线：禁用；长宽比：3：2；测光定时器：16秒；低音增强：禁用；经由HDMI控制：禁用。
进一步的，拍摄距离为显示屏宽度的3倍，拍摄方向为垂直于显示屏平面，拍摄环境为暗室。
步骤S3：对显示画面部分进行傅里叶变换，获取显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取显示画面部分参考频率在频域结构中的第二频谱能量值。其中，参考频率是零频，第二频谱能量值即为显示面板画面背景强度对应的频谱能量值。
步骤S4：判断第一频谱能量值与第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出数据范围，则判断为不合格，否则为合格。在不合格时，若比值越大，则说明显示屏残影越严重。
其中，第一频谱能量值与第二频谱能量值的比值可与传统的JND模型相结合，用于确定显示屏残影产生的临界评价值，即对应检测合格的数值范围。优选的，当JND恰好处于不可见与1.8之间时，得到的第一频谱能量值与第二频谱能量值的比值即为判断残影是否发生的临界值。
承前所述，本实施例进行两次标准拍照，一次用于获取待检测残影的显示屏图像，一次用于获得与显示屏尺寸匹配的参考框图像，对比两个图像，获取显示屏的显示画面部分在显示屏图像中的位置，进一步在频域结构中对显示屏的显示画面部分进行图像处理，提取IS频谱中特征频率的能量值，求得其与零频能量值的比值， 从而提高显示屏残影判断的客观性。
本发明实施例还提供了一种显示屏残影检测系统，该系统适用于前文所述的方法。具体请参阅图6。
本实施例的显示屏残影检测系统10包括获取装置11、提取装置12、运算装置13以及判断装置14。
其中，获取装置11用于获得待检测残影的显示屏图像。具体为获得经过IS实验的128灰阶下显示屏图像，如图3所示。获取装置11优选为相机等可以获取图像的装置。
提取装置12用于识别出显示屏图像中显示屏的位置，进而获得显示屏图像中显示屏的显示画面部分。其中，提取装置12进一步包括获取模块121和提取模块122。
获取模块121采用与获取装置11获得待检测残影的显示屏图像同一条件的方式，获得与显示屏尺寸匹配的参考框图像，具体如图4所示。其中，同一条件是指同一图像获取设备、同一图像获取参数、同一拍摄位置以及同一拍摄环境。即获取模块121与获取装置11采用同一图像获取设备。本实施例优选取以下同一条件：
相机，相机型号为Canon600D。相机参数：ISO100；色彩空间sRGB；闪光灯关闭；自动亮度关闭；白平衡偏移或者包围：0，0/±0；减轻红眼开/关：禁用；自动对焦模式：实时模式；显示网格线：禁用；长宽比：3：2；测光定时器：16秒；低音增强：禁用；经由HDMI控制：禁用。
进一步的，拍摄距离为显示屏宽度的3倍，拍摄方向为垂直于显示屏平面，拍摄环境为暗室。
提取模块122通过参考框图像与显示屏图像的对比，在显示屏图像中获得识别出显示屏的位置，进而获得显示屏图像中显示屏的显示画面部分。具体的，提取模块122具体识别出显示屏图像中显示屏的位置，采用图像剪裁算法获得显示屏图像中显示屏的显示画面部分，如图5所示。
本实施例中，图像剪裁算法优选为matlab（matrix laboratory，矩阵实验室）图像剪裁算法。在其他实施例中，还可以采用其他语言及应用的图像剪裁算法获得显示屏图像中显示屏的显示画面部分。
运算装置13用于对显示画面部分进行傅里叶变换，获取显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取显示画面部分参考频率在频域结构中的第二频谱能量值。其中，参考频率是零频，第二频谱能量值即为显示面板画面背景强度对应的频谱能量值。
判断装置14用于判断第一频谱能量值与第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出数据范围，则判断为不合格，否则为合格。在不合格时，若比值越大，则说明显示屏残影越严重。
其中，第一频谱能量值与第二频谱能量值的比值可与传统的JND模型相结合，用于确定显示屏残影产生的临界评价值，即对应检测合格的数值范围。优选的，当JND恰好处于不可见与1.8之间时，得到的第一频谱能量值与第二频谱能量值的比值即为判断残影是否发生的临界值。
综上所述，本实施例结合拍照获取的图像以及频域结构图像处理方法来检测显示屏的残影，能够解决传统基于人眼判断影像残留的主观性，准确判断、客观评价显示屏残影的严重程度。
本发明针对面板厂需要进行的IS实验，可用于在IS实验过程中显示屏残影的即时性量化检测与评价，以及IS后显示屏残影量化检测与评价，可降低IS判断的人工成本和时间成本，减弱人眼判断的主观性影响。
以上所述仅为本发明的实施方式，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (15)

  1. 一种显示屏残影检测方法，其中，包括：
    获得待检测残影的显示屏图像，其中，所述显示屏图像为经过IS实验的128灰阶下的显示屏图像；
    识别出所述显示屏图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分；
    对所述显示画面部分进行傅里叶变换，获取所述显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取所述显示画面部分参考频率在频域结构中的第二频谱能量值；
    判断所述第一频谱能量值与所述第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出所述数据范围，则判断为不合格，否则为合格。
  2. 根据权利要求1所述的方法，其中，所述识别出所述图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分包括：
    采用与所述获得待检测残影的显示屏图像同一条件的方式，获得与所述显示屏尺寸匹配的参考框图像；
    通过所述参考框图像与所述显示屏图像的对比，在所述显示屏图像中识别出所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分。
  3. 根据权利要求2所述的方法，其中，所述同一条件是指同一图像获取设备、同一图像获取参数、同一拍摄位置以及同一拍摄环境。
  4. 根据权利要求1所述的方法，其中，所述参考频率是零频。
  5. 根据权利要求2所述的方法，其中，所述在所述显示屏图像中识别出所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分包括：
    识别出所述显示屏图像中所述显示屏的位置，采用图像剪裁算法获得所述显示屏图像中所述显示屏的显示画面部分。
  6. 一种显示屏残影检测方法，其中，包括：
    获得待检测残影的显示屏图像；
    识别出所述显示屏图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分；
    对所述显示画面部分进行傅里叶变换，获取所述显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取所述显示画面部分参考频率在频域结构中的第二频谱能量值；
    判断所述第一频谱能量值与所述第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出所述数据范围，则判断为不合格，否则为合格。
  7. 根据权利要求6所述的方法，其中，所述识别出所述图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分包括：
    采用与所述获得待检测残影的显示屏图像同一条件的方式，获得与所述显示屏尺寸匹配的参考框图像；
    通过所述参考框图像与所述显示屏图像的对比，在所述显示屏图像中识别出所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分。
  8. 根据权利要求7所述的方法，其中，所述同一条件是指同一图像获取设备、同一图像获取参数、同一拍摄位置以及同一拍摄环境。
  9. 根据权利要求6所述的方法，其中，所述参考频率是零频。
  10. 根据权利要求7所述的方法，其中，所述在所述显示屏图像中识别出所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分包括：
    识别出所述显示屏图像中所述显示屏的位置，采用图像剪裁算法获得所述显示屏图像中所述显示屏的显示画面部分。
  11. 一种显示屏残影检测系统，其中，包括：
    获取装置，用于获得待检测残影的显示屏图像；
    提取装置，用于识别出所述显示屏图像中所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分；
    运算装置，用于对所述显示画面部分进行傅里叶变换，获取所述显示画面部分表征残影对应的特征频率在频域结构中的第一频谱能量值，另外获取所述显示画面部分参考频率在频域结构中的第二频谱能量值；
    判断装置，用于判断所述第一频谱能量值与所述第二频谱能量值的比值是否超出对应检测合格的数值范围，若超出所述数据范围，则判断为不合格，否则为合格。
  12. 根据权利要求11所述的系统，其中：所述提取装置包括：
    获取模块，用于采用与所述获取装置获得待检测残影的显示屏图像同一条件的方式，获得与所述显示屏尺寸匹配的参考框图像；
    提取模块，用于通过所述参考框图像与所述显示屏图像的对比，在所述显示屏图像中获得识别出所述显示屏的位置，进而获得所述显示屏图像中所述显示屏的显示画面部分。
  13. 根据权利要求12所述的系统，其中，所述同一条件是指同一图像获取设备、同一图像获取参数、同一拍摄位置以及同一拍摄环境。
  14. 根据权利要求11所述的系统，其中，所述参考频率是零频。
  15. 根据权利要求12所述的系统，其中，所述提取模块具体识别出所述显示屏图像中所述显示屏的位置，采用图像剪裁算法获得所述显示屏图像中所述显示屏的显示画面部分。
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09101816A (ja) * 1995-10-06 1997-04-15 Sony Corp 評価装置及び評価方法
KR20080107779A (ko) * 2007-06-08 2008-12-11 삼성전자주식회사 표시장치의 잔상측정장치와 잔상측정방법
CN101425246A (zh) * 2007-10-31 2009-05-06 台湾薄膜电晶体液晶显示器产业协会 检测显示器的残影现象的方法及装置
CN101762921A (zh) * 2008-12-23 2010-06-30 财团法人工业技术研究院 显示器的检测方法及其系统
CN103049915A (zh) * 2013-01-12 2013-04-17 深圳市华星光电技术有限公司 评价标准参数的建立方法及显示屏图像质量的评价方法
CN105427776A (zh) * 2016-01-26 2016-03-23 深圳市华星光电技术有限公司 液晶面板影像残留检测方法和装置

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI366393B (en) * 2007-10-12 2012-06-11 Taiwan Tft Lcd Ass Method and apparatus of measuring image-sticking of a display device
US8237750B2 (en) * 2008-10-23 2012-08-07 Motorola Mobility, Inc. Method of correcting emissive display burn-in
US8958639B2 (en) 2013-01-12 2015-02-17 Shenzhen China Star Optoelectronics Technology Co., Ltd. Method for establishing evaluation standard parameters and method for evaluating the quality of a display image
KR102139698B1 (ko) * 2013-11-14 2020-07-31 삼성디스플레이 주식회사 표시 패널의 영상 보정 방법
CN105096330A (zh) * 2015-08-20 2015-11-25 厦门美图之家科技有限公司 一种自动识别纯色边框的图像处理方法、系统及拍摄终端

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH09101816A (ja) * 1995-10-06 1997-04-15 Sony Corp 評価装置及び評価方法
KR20080107779A (ko) * 2007-06-08 2008-12-11 삼성전자주식회사 표시장치의 잔상측정장치와 잔상측정방법
CN101425246A (zh) * 2007-10-31 2009-05-06 台湾薄膜电晶体液晶显示器产业协会 检测显示器的残影现象的方法及装置
CN101762921A (zh) * 2008-12-23 2010-06-30 财团法人工业技术研究院 显示器的检测方法及其系统
CN103049915A (zh) * 2013-01-12 2013-04-17 深圳市华星光电技术有限公司 评价标准参数的建立方法及显示屏图像质量的评价方法
CN105427776A (zh) * 2016-01-26 2016-03-23 深圳市华星光电技术有限公司 液晶面板影像残留检测方法和装置

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