CN109613730B - Method for detecting image residue of LCD monitor - Google Patents

Method for detecting image residue of LCD monitor Download PDF

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CN109613730B
CN109613730B CN201910136041.6A CN201910136041A CN109613730B CN 109613730 B CN109613730 B CN 109613730B CN 201910136041 A CN201910136041 A CN 201910136041A CN 109613730 B CN109613730 B CN 109613730B
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image
residual
brightness
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CN109613730A (en
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张党辉
谢光锡
郑天良
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Suzhou Changfeng Aviation Electronics Co Ltd
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    • GPHYSICS
    • G02OPTICS
    • G02FOPTICAL 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
    • G02F1/00Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G02F1/1306Details
    • G02F1/1309Repairing; Testing
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/006Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays

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  • Chemical & Material Sciences (AREA)
  • Computer Hardware Design (AREA)
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Abstract

The invention discloses a method for detecting image residue of an on-board liquid crystal display, which comprises the following steps: and (3) detecting the residual brightness image, namely performing image residual detection on the green screen display, the blue screen display and the red screen display by adopting the color coordinates conforming to a CIE1976 uniform chromaticity scale, evaluating the residual brightness, and evaluating the interference of the residual brightness and the interference of the image residual on the red, green and blue images by a difference value. According to the invention, image residues which are difficult to find can be effectively detected through low-gray-scale image residue detection, and the misjudgment degree of the image residues of the airborne display on the data identification under the complex chart picture with high resolution and low gray scale can be visually evaluated through the measured value. The influence of low-gray image residues on green, blue and red images can be evaluated, and the detection is comprehensive. The image residue of the display is effectively evaluated, the phenomenon that the image residue influences the visual judgment of a pilot caused by the unqualified display is avoided, and the operation safety is improved.

Description

Method for detecting image residue of liquid crystal display on machine
Technical Field
The invention relates to liquid crystal display detection, in particular to a method for detecting image residues of an on-board liquid crystal display, and belongs to the technical field of image residue detection.
Background
In the measurement process of the on-board liquid crystal display, the image retention of the liquid crystal display is usually tested, that is, the image retention degree is evaluated by keeping the maximum brightness of the liquid crystal display, loading a fixed on-board information picture, generally a checkerboard or a simulated real instrument picture, keeping the brightness unchanged, changing the picture content to be pure black, measuring the brightness value (candela) of the image displayed before the picture retention and the brightness value of a nearby non-residual image area, and using the ratio of the two values.
With the increase of the size of the airborne display, the resolution and the gray scale level are improved, under the condition of a complex chart, the image residue under partial low-gray scale pictures is difficult to be found by testers, and the finished product may cause certain misjudgment influence on the target interpretation of the pilot.
Disclosure of Invention
The invention aims to solve the defects of the prior art and provides a method for detecting image residues of an organic Liquid Crystal Display (LCD) aiming at the problem of inaccurate detection of the traditional artificial visual residues.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
the method for detecting the image residue of the organic liquid crystal display is characterized by comprising the following steps:
s1 detecting the residual brightness image,
loading and fixing the airborne navigation chart picture or the checkerboard picture for a certain time under the condition of maximum brightness of the airborne display, keeping the brightness unchanged, and switching the picture of the display to be pureInputting standard white field picture with gray scale of 10% -15% to the airborne display by standard signal source, measuring brightness value L of image residual region by luminance meter in normal direction of the airborne display 1 Measuring the brightness value L of the non-image residual region 2
S2 detecting the residual image of green, blue and red screens with color coordinates conforming to CIE1976 uniform chromaticity scale,
s21 Green image residual detection, in step S1, the color of the signal is adjusted to green while keeping the current gray level and brightness, and the color coordinates (u' b1 ,v′ b1 ) Color coordinates (u 'of neighboring non-video residual region are measured' b2 ,v′ b2 );
S22 blue image sticking detection, in step S1, the color of the signal is adjusted to blue while keeping the current gray level and brightness, and the color coordinates (u' g1 ,v′ g1 ) Color coordinates (u 'of neighboring non-video residual region are measured' g2 ,v′ g2 );
S23 Red video residual detection, in step S1, the color of the signal is adjusted to red while keeping the current gray level and brightness, and the color coordinates (u 'of the residual video region are measured' r1 ,v′ r1 ) Color coordinates (u 'of neighboring non-video residual region are measured' r2 ,v′ r2 );
The evaluation of the residue of S3 was carried out,
by the formula Δ L ═ L (L) 1 2 -L 2 2 ) 1/2 Calculating delta L for evaluating the brightness image residual;
through the formula delta u' b =(u′ b1 -u′ b2 )、Δv′ b =(v′ b1 -v′ b2 ) Calculating Delta u 'for evaluating influence of video residual on green picture video' b 、Δv′ b
Through the formula delta u' g =(u′ g1 -u′ g2 ),Δv′ g =(v′ g1 -v′ g2 ) Calculating delta v 'for evaluating influence of image sticking on blue picture image' g 、Δv′ g
Through the formula delta u' r =(u′ r1 -u′ r2 ),Δv′ r =(v′ r1 -v′ r2 ) Delta u 'for evaluating influence of video sticking on red picture video is calculated' r 、Δv′ r
Further, in the step S2, the steps S21, S22, and S23 are independent tests.
The invention has the following beneficial effects:
1. the image residual which is difficult to find can be effectively detected through low gray scale image residual detection, and the misjudgment degree of the image residual on the data identification of the airborne display under the complex chart picture with high resolution and low gray scale level can be visually evaluated through measuring numerical values.
2. The influence of low-gray image residues on green, blue and red images can be evaluated, and the detection is comprehensive.
3. The method and the device effectively realize the image residue evaluation of the display, prevent the image residue from influencing the visual judgment of a pilot caused by the unqualified display, and improve the operation safety.
Drawings
FIG. 1 is a CIE1976 uniform chromaticity scale chart of the method for detecting image retention of an LCD monitor according to the present invention.
Detailed Description
The invention provides a method for detecting image residue of an on-board liquid crystal display. The technical solution of the present invention is described in detail below with reference to the accompanying drawings so that it can be more easily understood and appreciated.
The method for detecting the image residue of the organic liquid crystal display comprises the following steps:
s1 detecting the residual brightness image,
loading and fixing the airborne chart picture or the checkerboard picture for a certain time under the condition of maximum brightness of the airborne display, keeping the brightness unchanged, switching the picture of the display to be a pure white field, and inputting a standard with the gray scale of 10-15% into the airborne display through a standard signal sourceMeasuring the brightness value L of the image residual region in the normal direction of the airborne display by a brightness meter on a white field picture 1 Measuring the brightness value L of the non-image residual region 2
S2 As shown in FIG. 1, detecting the residual image of green screen display, blue screen display and red screen display by using the color coordinates conforming to CIE1976 uniform chromaticity scale,
s21 detecting the residual green image, in step S1, the color of the signal is adjusted to green while keeping the current gray scale level and the brightness state, and the color coordinates (u 'of the residual image area are measured' b1 ,v′ b1 ) Color coordinates (u 'of neighboring non-video residual region are measured' b2 ,v′ b2 )。
That is, after the detection in step S1, the signal color is switched to form a green field screen, and the coordinate data of each color is acquired.
S22 blue image sticking detection, in step S1, the color of the signal is adjusted to blue while keeping the current gray level and brightness, and the color coordinates (u' g1 ,v′ g1 ) Color coordinates (u ') of a neighboring non-video residual region are measured' g2 ,v′ g2 )。
It should be noted that, after the detection in step S1, the signal color switching is performed, and after the display has already been subjected to step S21 and needs to be stopped, step S1 is performed, except that, in this case, the step S1 may omit the luminance value data acquisition and directly switch to the blue field for color coordinate data acquisition.
S23 Red video residual detection, in step S1, the color of the signal is adjusted to red while keeping the current gray level and brightness, and the color coordinates (u 'of the residual video region are measured' r1 ,v′ r1 ) Color coordinates (u 'of neighboring non-video residual region are measured' r2 ,v′ r2 )。
After the detection in step S1, the signal color is switched, and it should be noted that, after the display has been subjected to step S21 or step S22, the step S1 is performed after the display needs to be stopped, except that, in this case, the step S1 may omit the collection of the brightness value data, and directly switch to the red field for the collection of the color coordinate data.
It should be noted that, step S21, step S22, and step S23 are not in sequence, and all of the three steps are independent detection, and in order to prevent crosstalk interference, the three steps need to be stopped to eliminate residual, and then the detection is performed.
The evaluation of the residue of S3 was carried out,
by the formula Δ L ═ L (L) 1 2 -L 2 2 ) 1/2 Calculating delta L for evaluating the brightness image residual;
through the formula delta u' b =(u′ b1 -u′ b2 )、Δv′ b =(v′ b1 -v′ b2 ) Calculating Delta u 'for evaluating influence of video residual on green picture video' b 、Δv′ b
Through the formula delta u' g =(u′ g1 -u′ g2 ),Δv′ g =(v′ g1 -v′ g2 ) Calculating Delta u 'for evaluating influence of image sticking on blue picture image' g 、Δv′ g
Through the formula delta u' r =(u′ r1 -u′ r2 ),Δv′ r =(v′ r1 -v′ r2 ) Calculating delta u 'for evaluating influence of image sticking on red picture image' r 、Δv′ r
It should be noted that, in general, a smaller arbitrary Δ value indicates a lower residual degree, and a larger Δ value indicates a higher residual degree, and in the detection, a threshold coefficient of the Δ value is set accordingly, and when the threshold coefficient is lower than the threshold coefficient, the threshold coefficient is qualified, otherwise, the residual degree exceeds the standard. The threshold setting may be performed by a visual recognition test of the pilot.
According to the method for detecting the image residues of the onboard display, disclosed by the invention, the image residues which are difficult to find can be effectively detected through low-gray-scale image residue detection, and the misjudgment degree of the image residues of the onboard display on the data identification under the complex chart pictures with high resolution and low gray-scale levels can be visually evaluated through the measured values. The influence of low-gray image residues on green, blue and red images can be evaluated, and the detection is comprehensive. The method and the device effectively realize the image residue evaluation of the display, prevent the image residue from influencing the visual judgment of a pilot caused by the unqualified display, and improve the operation safety.
The technical solutions of the present invention are fully described above, it should be noted that the specific embodiments of the present invention are not limited by the above description, and all technical solutions formed by equivalent or equivalent changes in structure, method, or function according to the spirit of the present invention by those skilled in the art are within the scope of the present invention.

Claims (2)

1. The method for detecting the image residue of the organic liquid crystal display is characterized by comprising the following steps:
s1 detecting the residual brightness image,
loading and fixing an airborne chart picture or a checkerboard picture for a certain time under the condition of maximum brightness of an airborne display, keeping the brightness unchanged, switching the picture of the display to be a pure white field, inputting a standard white field picture with the gray scale of 10% -15% into the airborne display through a standard signal source, and measuring the brightness value L of an image residual region by a brightness meter in the normal direction of the airborne display 1 Measuring the brightness value L of the non-image residual region 2
S2 detecting the residual image of green, blue and red screens with color coordinates conforming to CIE1976 uniform chromaticity scale,
s21 detecting the residual green image, keeping the current gray scale and brightness unchanged, adjusting the color of the signal to green, and measuring the color coordinates of the residual image area (S1)
Figure DEST_PATH_IMAGE002
b1 ,
Figure DEST_PATH_IMAGE004
b1 ) Measuring the color coordinates of the nearby non-image-sticking region (
Figure 66158DEST_PATH_IMAGE002
b2 ,
Figure 426643DEST_PATH_IMAGE004
b2 );
S22 detecting residual blue image, keeping the current gray scale and brightness unchanged, adjusting the color of the signal to blue, and measuring the color coordinates of the residual image area (S1)
Figure 596593DEST_PATH_IMAGE002
g1 ,
Figure 257382DEST_PATH_IMAGE004
g1 ) Measuring the color coordinates of the nearby non-image-sticking region (
Figure 399650DEST_PATH_IMAGE002
g2 ,
Figure 848211DEST_PATH_IMAGE004
g2 );
S23 Red image residual detection, in step S1, the current gray level and brightness status are kept unchanged, the color of the signal is adjusted to red, and the color coordinates of the image residual region are measured (
Figure 380824DEST_PATH_IMAGE002
r1 ,
Figure 907620DEST_PATH_IMAGE004
r1 ) Measuring the color coordinates of the nearby non-image-sticking region (
Figure 107657DEST_PATH_IMAGE002
r2 ,
Figure 661873DEST_PATH_IMAGE004
r2 );
The evaluation of the residue of S3 was carried out,
by the formula
Figure DEST_PATH_IMAGE006
= (L 1 2 - L 2 21/2 Calculating for evaluating luminance image sticking
Figure 212940DEST_PATH_IMAGE006
By the formula
Figure DEST_PATH_IMAGE008
Figure 543427DEST_PATH_IMAGE002
b =(
Figure 896173DEST_PATH_IMAGE002
b1 -
Figure 591597DEST_PATH_IMAGE002
b2 )、
Figure 161119DEST_PATH_IMAGE008
Figure 701821DEST_PATH_IMAGE004
b =(
Figure 673188DEST_PATH_IMAGE004
b1 -
Figure 273934DEST_PATH_IMAGE004
b2 ) Calculating for evaluating influence of image sticking on green picture image
Figure 829287DEST_PATH_IMAGE008
Figure 173681DEST_PATH_IMAGE002
b
Figure 999554DEST_PATH_IMAGE008
Figure 36780DEST_PATH_IMAGE004
b
By the formula
Figure 315315DEST_PATH_IMAGE008
Figure 964864DEST_PATH_IMAGE002
g =(
Figure 848507DEST_PATH_IMAGE002
g1 -
Figure 118951DEST_PATH_IMAGE002
g2 ),
Figure 822465DEST_PATH_IMAGE008
Figure 570978DEST_PATH_IMAGE004
g =(
Figure 309127DEST_PATH_IMAGE004
g1 -
Figure 249008DEST_PATH_IMAGE004
g2 ) Calculating for evaluating influence of image sticking on blue picture image
Figure 439817DEST_PATH_IMAGE008
Figure 992022DEST_PATH_IMAGE002
g
Figure 319098DEST_PATH_IMAGE008
Figure 931345DEST_PATH_IMAGE004
g
By the formula
Figure 110915DEST_PATH_IMAGE008
Figure 466810DEST_PATH_IMAGE002
r =(
Figure 913972DEST_PATH_IMAGE002
r1 -
Figure 431541DEST_PATH_IMAGE002
r2 ),
Figure 596943DEST_PATH_IMAGE008
Figure 989485DEST_PATH_IMAGE004
r =(
Figure 556733DEST_PATH_IMAGE004
r1 -
Figure 245203DEST_PATH_IMAGE004
r2 ) Calculating for evaluating influence of image sticking on red picture image
Figure 897901DEST_PATH_IMAGE008
Figure 159381DEST_PATH_IMAGE002
r
Figure 315556DEST_PATH_IMAGE008
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r
2. The method for detecting image sticking of an on-board display according to claim 1, wherein:
in the step S2, the steps S21, S22 and S23 are independent tests.
CN201910136041.6A 2019-02-25 2019-02-25 Method for detecting image residue of LCD monitor Expired - Fee Related CN109613730B (en)

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CN110033726B (en) * 2019-05-14 2022-07-22 昆山国显光电有限公司 Test method of display panel
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