CN116593128A - Laser display quality detection and analysis method and system - Google Patents
Laser display quality detection and analysis method and system Download PDFInfo
- Publication number
- CN116593128A CN116593128A CN202310480440.0A CN202310480440A CN116593128A CN 116593128 A CN116593128 A CN 116593128A CN 202310480440 A CN202310480440 A CN 202310480440A CN 116593128 A CN116593128 A CN 116593128A
- Authority
- CN
- China
- Prior art keywords
- display quality
- display
- detection
- quality evaluation
- sample
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 177
- 238000004458 analytical method Methods 0.000 title claims abstract description 25
- 238000013441 quality evaluation Methods 0.000 claims abstract description 147
- 238000012360 testing method Methods 0.000 claims abstract description 139
- 238000011156 evaluation Methods 0.000 claims abstract description 91
- 238000000034 method Methods 0.000 claims abstract description 75
- 230000008569 process Effects 0.000 claims abstract description 16
- 230000004907 flux Effects 0.000 claims description 82
- 238000004364 calculation method Methods 0.000 claims description 26
- 238000004590 computer program Methods 0.000 claims description 12
- 238000010276 construction Methods 0.000 claims description 12
- 238000007689 inspection Methods 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 5
- 238000013215 result calculation Methods 0.000 claims description 5
- 238000001303 quality assessment method Methods 0.000 claims 6
- 238000013097 stability assessment Methods 0.000 claims 3
- 230000000694 effects Effects 0.000 abstract description 10
- 230000007547 defect Effects 0.000 abstract description 6
- 238000011161 development Methods 0.000 description 6
- 238000013210 evaluation model Methods 0.000 description 4
- 238000005457 optimization Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0242—Testing optical properties by measuring geometrical properties or aberrations
- G01M11/0257—Testing optical properties by measuring geometrical properties or aberrations by analyzing the image formed by the object to be tested
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0207—Details of measuring devices
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Spectrometry And Color Measurement (AREA)
Abstract
The application relates to the technical field of quality detection and provides a laser display quality detection and analysis method and system. The method comprises the steps of obtaining a plurality of test images for carrying out laser display quality detection on a laser device, carrying out multipoint method detection on a plurality of detection time windows in the display process of the plurality of test images, obtaining a plurality of detection result sets, further calculating to obtain an average display quality evaluation result, obtaining a display stability evaluation result based on the plurality of display quality evaluation results, obtaining an average display stability evaluation result and a plurality of average display quality evaluation results of the plurality of test images, and generating a display quality detection result. The technical problems that the display quality of the laser display device cannot be accurately known and the defect positioning of the laser display device is carried out based on the display quality detection result in the prior art are solved, the accuracy of the quality detection of the laser display device is improved, and the technical effects of the whole and partial display effect of the laser display device can be intuitively known based on the display quality detection result.
Description
Technical Field
The application relates to the technical field of quality detection, in particular to a laser display quality detection analysis method and a laser display quality detection analysis system.
Background
Along with the improvement of technological progress and the improvement of living standard of people, people have pursued higher color rendering capability of computer televisions for enriching entertainment lives, and as the color expressive force of laser display is far superior to that of a traditional display device, the service life of a light source is far superior to that of the traditional display device, the light source becomes an important breakthrough direction of the technological development of the current display device, and has very broad market prospect.
Compared with the high-speed development of the technology of the laser display device, the display quality detection of the laser display device is simpler and coarser, and technicians cannot know the defects of the currently produced laser display device based on the quality detection result of the laser display device, so that the quality detection result of the laser display device has weaker design optimization referential property for the subsequent laser display device.
In summary, in the prior art, the display quality detection method of the laser display device is rough, which results in the technical problems that the display quality of the laser display device cannot be accurately known and the defect positioning of the display device cannot be performed based on the display quality detection result.
Disclosure of Invention
Based on the above, it is necessary to provide a method and a system for detecting and analyzing the quality of laser display, which can improve the accuracy of quality detection of the laser display, intuitively know the overall and local display effects of the laser display based on the detection result of the quality of display, and facilitate the positioning of display defects of the laser display.
A laser display quality detection analysis method comprises the following steps: acquiring a plurality of test images for performing display quality detection on target laser equipment, wherein the target laser equipment is laser display equipment for performing display quality detection; displaying a first test image in the plurality of test images by adopting the target laser device; in the display process of the first test image, testing luminous flux, illuminance and chromaticity in a plurality of points based on a multipoint method in a first time window, and calculating average luminous flux, illuminance uniformity and chromaticity uniformity; performing multipoint method detection based on a plurality of detection time windows to obtain a plurality of detection result sets; respectively inputting the multiple detection result sets into a display quality evaluation model to obtain multiple display quality evaluation results, and calculating to obtain an average display quality evaluation result; inputting the multiple display quality evaluation results into a display stability evaluation result model to obtain a display stability evaluation result; and performing display test on the target laser equipment based on the plurality of test images to obtain an average display stability evaluation result, and combining the plurality of average display quality evaluation results to generate a display quality detection result of the target laser equipment.
A laser display quality detection analysis system, the system comprising: the system comprises a test image acquisition module, a display quality detection module and a display quality detection module, wherein the test image acquisition module is used for acquiring a plurality of test images for performing display quality detection on target laser equipment, wherein the target laser equipment is laser display equipment to be subjected to display quality detection; the test image display module is used for displaying a first test image in the plurality of test images by adopting the target laser equipment; the multi-point test execution module is used for testing luminous flux, illuminance and chromaticity in a plurality of points based on a multi-point method in a first time window in the display process of the first test image, and calculating average luminous flux, illuminance uniformity and chromaticity uniformity; the detection result obtaining module is used for carrying out multipoint method detection based on a plurality of detection time windows to obtain a plurality of detection result sets; the evaluation result calculation module is used for respectively inputting the detection result sets into the display quality evaluation model to obtain a plurality of display quality evaluation results, and calculating to obtain an average display quality evaluation result; the model analysis execution module is used for inputting the multiple display quality evaluation results into a display stability evaluation result model to obtain a display stability evaluation result; and the commonality result generating module is used for carrying out display test on the target laser equipment based on the plurality of test images to obtain an average display stability evaluation result, and combining the plurality of average display quality evaluation results to generate a display quality detection result of the target laser equipment.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring a plurality of test images for performing display quality detection on target laser equipment, wherein the target laser equipment is laser display equipment for performing display quality detection;
displaying a first test image in the plurality of test images by adopting the target laser device;
in the display process of the first test image, testing luminous flux, illuminance and chromaticity in a plurality of points based on a multipoint method in a first time window, and calculating average luminous flux, illuminance uniformity and chromaticity uniformity;
performing multipoint method detection based on a plurality of detection time windows to obtain a plurality of detection result sets;
respectively inputting the multiple detection result sets into a display quality evaluation model to obtain multiple display quality evaluation results, and calculating to obtain an average display quality evaluation result;
inputting the multiple display quality evaluation results into a display stability evaluation result model to obtain a display stability evaluation result;
and performing display test on the target laser equipment based on the plurality of test images to obtain an average display stability evaluation result, and combining the plurality of average display quality evaluation results to generate a display quality detection result of the target laser equipment.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a plurality of test images for performing display quality detection on target laser equipment, wherein the target laser equipment is laser display equipment for performing display quality detection;
displaying a first test image in the plurality of test images by adopting the target laser device;
in the display process of the first test image, testing luminous flux, illuminance and chromaticity in a plurality of points based on a multipoint method in a first time window, and calculating average luminous flux, illuminance uniformity and chromaticity uniformity;
performing multipoint method detection based on a plurality of detection time windows to obtain a plurality of detection result sets;
respectively inputting the multiple detection result sets into a display quality evaluation model to obtain multiple display quality evaluation results, and calculating to obtain an average display quality evaluation result;
inputting the multiple display quality evaluation results into a display stability evaluation result model to obtain a display stability evaluation result;
and performing display test on the target laser equipment based on the plurality of test images to obtain an average display stability evaluation result, and combining the plurality of average display quality evaluation results to generate a display quality detection result of the target laser equipment.
The laser display quality detection analysis method and the system solve the technical problems that in the prior art, the display quality detection method of the laser display device is rough, so that the display quality of the laser display device cannot be accurately known based on the display quality detection result, and the defect positioning of the laser display device is performed.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a flow chart of a method for analyzing quality of laser display according to an embodiment;
FIG. 2 is a schematic flow chart of a multi-point method detection in a laser display quality detection analysis method according to an embodiment;
FIG. 3 is a block diagram of a laser display quality inspection analysis system in one embodiment;
Fig. 4 is an internal structural diagram of a computer device in one embodiment.
Reference numerals illustrate: the system comprises a test image acquisition module 1, a test image display module 2, a multi-point test execution module 3, a detection result acquisition module 4, an evaluation result calculation module 5, a model analysis execution module 6 and a common result generation module 7.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
As shown in fig. 1, the present application provides a laser display quality detection and analysis method, which includes:
s100, acquiring a plurality of test images for performing display quality detection on target laser equipment, wherein the target laser equipment is laser display equipment for performing display quality detection;
s200, displaying a first test image in the plurality of test images by adopting the target laser equipment;
in particular, it should be appreciated that laser display devices are typically used in conjunction with projection screens for laser projection devices that use a laser beam to transmit out of a picture.
In this embodiment, the target laser device is a laser display device (projection device) to be subjected to display quality detection, and the detection object of the display quality detection is the quality of the projection display effect of the target laser device.
Specifically, the target laser device is adopted to perform projection display of the projection curtain, the projection curtain is divided into a plurality of test areas, and coverage exists at the joint of the adjacent test areas so as to ensure the projection display detection comprehensiveness of the target laser device.
And controlling the target laser equipment to project and display static or dynamic images, wherein a plurality of test areas of a projection curtain of the target laser equipment correspondingly generate the plurality of test images, and a method for detecting the display quality of the plurality of test areas based on the plurality of test images has consistency. In this embodiment, the method for detecting and analyzing the laser display quality of the target laser device is described by taking the detection of the local display quality of the laser device in the first test area based on the first test image as an example.
The first test area is any random test area in the plurality of test areas, and correspondingly, the first test image is a test image corresponding to the first test area in the plurality of test images.
S300, in the display process of the first test image, testing luminous flux, illuminance and chromaticity in a plurality of points on the basis of a multi-point method in a first time window, and calculating average luminous flux, illuminance uniformity and chromaticity uniformity;
in one embodiment, during the display process of the first test image, the method step S300 provided by the present application further includes, in a first time window, testing luminous flux, illuminance, chromaticity in a plurality of points based on a multi-point method:
s310, acquiring luminous fluxes, illuminance and chromaticity in 16 points based on a 16-point method in the display process of the first test image to obtain a first luminous flux set, a first illuminance set and a first chromaticity set;
s320, calculating and obtaining the average luminous flux, the illuminance uniformity and the chromaticity uniformity according to the first luminous flux set, the first illuminance set and the first chromaticity set.
Specifically, in this embodiment, the target laser device is controlled to display an image or video, so that a first test area displays the first test image, and in the display process of the first test image, a 4x4 grid is randomly selected in the first test area based on a point distribution method of a light color detection system, namely a 16-point method, 16 points of grid intersections are used as light sources, and luminous fluxes, illuminance and chromaticity in the 16 points are acquired in a unit time, so as to obtain a first luminous flux set, a first illuminance set and a first chromaticity set.
The luminous flux refers to the total quantity of light generated by the light sources in unit time, and the first luminous flux set stores luminous flux data of 16 light sources; the illuminance is luminous flux of an irradiated area when light rays of the light sources irradiate a specific surface or a space range, and the first illuminance set stores illuminance data of 16 light sources; hue and saturation of the chromaticity light source colors, and chromaticity data of 16 light sources are stored in the first chromaticity set.
According to the first luminous flux set, the first illuminance set and the first chromaticity set, the average luminous flux, the illuminance uniformity and the chromaticity uniformity are calculated and obtained respectively, the average luminous flux represents the luminous flux generated by taking any point in a first test area corresponding to the first test image as a light source, the illuminance uniformity represents the uniformity of illuminance generated by taking any point in the first test area corresponding to the first test image as the light source, and the chromaticity uniformity represents the uniformity of chromaticity generated by taking any point in the first test area corresponding to the first test image as the light source, and the average luminous flux, the illuminance uniformity and the chromaticity uniformity can be detected and obtained based on a color display quality detection method in the prior art.
According to the embodiment, the average luminous flux, the illuminance uniformity and the chromaticity uniformity are obtained, so that a reference is provided for the subsequent judgment of the color development quality of the first test area based on the first test image, and the technical effect of improving the scientificity of judging the color development quality of the first test area is realized.
S400, performing multipoint method detection based on a plurality of detection time windows to obtain a plurality of detection result sets;
in one embodiment, as shown in fig. 2, the method of performing multipoint detection based on a plurality of detection time windows to obtain a plurality of detection result sets, and step S400 of the method provided by the present application further includes:
s410, acquiring a plurality of detection time windows based on the same time interval;
s420, detecting and acquiring a plurality of average luminous fluxes, a plurality of illuminance uniformity and a plurality of chromaticity uniformity in the plurality of detection time windows;
and S430, dividing the average luminous fluxes, the illuminance uniformity and the chromaticity uniformity according to the detection time windows to obtain detection result sets.
Specifically, in this embodiment, 16 points are randomly selected as detection points in the first test area, and the average luminous flux, illuminance uniformity and chromaticity uniformity of the 16 points are collected and calculated in a unit time.
And carrying out multi-period detection on the first test area so as to judge the display stability of the first test image in the first test area. Specifically, based on the same time interval, a plurality of detection time windows are acquired, for example, the interval time is set to be 1/6 second, and 30 detection time windows are set to acquire the luminous flux, the illuminance and the chromaticity data of 16 points in the first test area.
In each detection time window, the average luminous flux, the illuminance uniformity and the chromaticity uniformity of the detection time window are obtained based on the data acquisition and calculation method of the average luminous flux, the illuminance uniformity and the chromaticity uniformity in the step S300.
And in the detection time windows, detecting to obtain a plurality of average luminous fluxes, a plurality of illuminance uniformity and a plurality of chromaticity uniformity, wherein the detection time windows are used as data dividing conditions, the average luminous fluxes, the illuminance uniformity and the chromaticity uniformity are divided according to the detection time windows to obtain detection result sets, each detection result set corresponds to one detection time window, and each detection result set comprises a group of average luminous fluxes, illuminance uniformity and chromaticity uniformity.
According to the embodiment, the multi-period test data acquisition and the mean value calculation are carried out on the color development condition of the first test image in the first test area by dividing a plurality of time detection windows, so that the technical effect of providing an effective data foundation for the color development stability condition of the first test image in the first test area is determined for subsequent scientific analysis.
S500, respectively inputting the detection result sets into a display quality evaluation model to obtain a plurality of display quality evaluation results, and calculating to obtain an average display quality evaluation result;
in one embodiment, the multiple detection result sets are respectively input into a display quality evaluation model to obtain multiple display quality evaluation results, and an average display quality evaluation result is calculated and obtained, and the method step S500 provided by the present application further includes:
s510, obtaining average luminous flux of a plurality of samples, illuminance uniformity of the plurality of samples and chromaticity uniformity of the plurality of samples, and evaluating to obtain display quality evaluation results of the plurality of samples;
s520, adopting the average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples, the chromaticity uniformity of the plurality of samples and the display quality evaluation results of the plurality of samples as construction data to construct the display quality evaluation model, wherein the display quality evaluation model comprises a plurality of evaluation coordinate points, namely a plurality of corresponding sample display quality evaluation results;
S530, respectively inputting the plurality of detection result sets into the display quality evaluation model to obtain a plurality of target coordinate points;
s540, respectively acquiring M coordinate points which are the nearest to the target coordinate points and M corresponding sample display quality evaluation results to acquire a plurality of sample display quality evaluation result sets;
s550, respectively obtaining sample display quality evaluation results with highest occurrence frequency in the plurality of sample display quality evaluation result sets, taking the sample display quality evaluation results as the plurality of display quality evaluation results, and calculating to obtain the average display quality evaluation result.
In one embodiment, the average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples, the chromaticity uniformity of the plurality of samples and the display quality evaluation result of the plurality of samples are used as construction data to construct the display quality evaluation model, and the method step S520 provided by the present application further includes:
s521, constructing a first coordinate axis, a second coordinate axis and a third coordinate axis based on the average luminous flux, the illuminance uniformity and the chromaticity uniformity as a first characteristic value, a second characteristic value and a third characteristic value to obtain an evaluation coordinate system;
s522, combining the average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples and the chromaticity uniformity of the plurality of samples to obtain a plurality of sample detection result sets, and inputting the evaluation coordinate system to obtain a plurality of sample coordinate points;
And S523, adopting the plurality of sample display quality evaluation results to identify the plurality of sample coordinate points in a one-to-one correspondence manner, and obtaining the display quality evaluation model.
Specifically, in this embodiment, the display quality evaluation model is used to replace manual experience to implement analysis to determine the display quality of the laser display device based on the data of luminous flux, illuminance uniformity and chromaticity uniformity of the laser display device.
The display quality evaluation model is a data processing model constructed based on a particle swarm optimization space, and the construction process of the display quality evaluation model is as follows:
and obtaining sample average luminous flux, sample illuminance uniformity and sample chromaticity uniformity of a plurality of sample laser display devices by adopting the same method as the steps S100-S400. And acquiring a plurality of sample quality evaluation results based on the sample average luminous flux, the sample illuminance uniformity and the sample chromaticity uniformity of each sample laser display device by a technical expert in the laser display field by adopting letters or public channels, wherein the sample quality evaluation results are the evaluation scores of a percentile system, and the sample average luminous flux, the sample illuminance uniformity and the sample chromaticity uniformity are higher, so that the plurality of sample quality evaluation results are obtained.
And carrying out average value calculation on the sample quality evaluation results of a plurality of experts on the same sample laser display device, and taking the sample quality evaluation results as the sample quality evaluation results of the sample laser display device. And evaluating based on the average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples and the chromaticity uniformity of the plurality of samples by adopting the same method to obtain the display quality evaluation results of the plurality of samples.
And constructing the display quality evaluation model by adopting the average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples, the chromaticity uniformity of the plurality of samples and the display quality evaluation result of the plurality of samples as construction data.
Specifically, an evaluation coordinate system of the display quality evaluation model constructed based on the particle swarm optimization space is constructed by taking average luminous flux, illuminance uniformity and chromaticity uniformity as a first characteristic value, a second characteristic value and a third characteristic value, and constructing a first coordinate axis, a second coordinate axis and a third coordinate axis, so that the evaluation coordinate system is obtained.
And combining the average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples and the chromaticity uniformity of the plurality of samples according to the corresponding relation between the three data of the average luminous flux, the illuminance uniformity of the samples and the chromaticity uniformity of the samples and the sample display quality evaluation result to obtain a plurality of sample detection result sets.
Three data in each sample inspection result set are intersected at a point in an evaluation coordinate system, the point is a sample coordinate point of the sample inspection result, a plurality of sample inspection result sets are input into the evaluation coordinate system to obtain a plurality of sample coordinate points, the plurality of evaluation coordinate points are corresponding to a plurality of sample display quality evaluation results, the plurality of sample display quality evaluation results are adopted, the plurality of sample coordinate points are identified in a one-to-one correspondence mode, and the construction of the display quality evaluation model is completed.
Step S400 obtains the plurality of detection result sets, where each detection result set corresponds to a detection time window, and each detection result set includes a group of average luminous flux, illuminance uniformity, and chromaticity uniformity.
Randomly selecting any one of the detection result sets as a first detection result set, inputting the average luminous flux, the illuminance uniformity and the chromaticity uniformity of the first detection result set into the display quality evaluation model to obtain the target coordinate point, wherein the target coordinate point is a point where three data in the first detection result set meet in an evaluation coordinate system of the display quality evaluation model.
And obtaining M coordinate points which are most adjacent to the target coordinate point, wherein M is a positive integer which is more than or equal to 1, obtaining M sample display quality evaluation results corresponding to the M coordinate points, carrying out frequency statistics on scores of the M sample display quality evaluation results, and taking the sample display quality evaluation result with the highest frequency of occurrence as the display quality evaluation result of the target coordinate point. And respectively inputting the plurality of detection result sets into the display quality evaluation model by adopting the same method to obtain a plurality of display quality evaluation results, and obtaining the average display quality evaluation result through average value calculation.
According to the embodiment, the display quality evaluation model constructed based on the particle swarm optimization space is used for evaluating the display quality of the laser display equipment based on the data analysis model instead of the manual experience, and the technical effects of improving the display quality evaluation efficiency of the laser display equipment and scientificity of the evaluation result are achieved.
S600, inputting the display quality evaluation results into a display stability evaluation result model to obtain a display stability evaluation result;
in one embodiment, the plurality of display quality evaluation results are input into a display stability evaluation result model to obtain a display stability evaluation result, and the method step S600 provided by the present application further includes:
S610, constructing the display stability evaluation result model;
s620, calculating variances of the display quality evaluation results, and inputting the variance calculation results into the display stability evaluation result model to obtain the display stability evaluation result.
In one embodiment, the method step S610 further includes:
s611, obtaining a plurality of sample variance calculation results for performing display quality evaluation result variance calculation, and dividing to obtain a plurality of sample variance intervals;
s612, setting and obtaining a plurality of sample display stability evaluation results according to the plurality of sample variance intervals;
and S613, constructing a mapping relation between the multiple sample variance intervals and the multiple sample display stability evaluation results, and obtaining the display stability evaluation result model.
Specifically, in this embodiment, the display stability evaluation model is a data analysis model for evaluating display stability of a laser display device, and the method for obtaining data required for constructing the display stability evaluation model is as follows:
and adopting the same method in the step S300, performing multipoint method detection on the plurality of sample laser display devices based on a plurality of detection time windows to obtain a plurality of sample detection result sets of the plurality of sample laser display devices, further inputting the display quality evaluation model constructed in the step S500 to obtain a plurality of sample detection result sets of the plurality of sample laser display devices, wherein each sample detection result set stores a plurality of sample display quality evaluation results corresponding to the plurality of detection time windows.
And carrying out variance calculation based on the multiple sample display quality evaluation results of each sample laser display device to obtain corresponding sample variance calculation results, and obtaining multiple sample variance calculation results of the multiple sample laser display devices by adopting the same method. Dividing based on a plurality of sample variance calculation results to obtain a plurality of sample variance sections, wherein all the joints of the plurality of sample variance sections are opened and closed at front and back, and the joints of the plurality of sample variance sections are connected by numerical values.
The display stability gap of the plurality of laser display devices with variance calculation results falling into each same cost difference interval is considered to be weak, and the display stability is considered to be consistent. The preferred method for obtaining the plurality of sample variance intervals based on the division of the plurality of sample variance calculation results is as follows, adopting letters or public channels to contact a plurality of experts in the laser display field, obtaining a plurality of nodes of the plurality of sample variance intervals based on the division of the plurality of sample variance calculation results, extracting a plurality of nodes with highest occurrence frequency, and obtaining the plurality of sample variance intervals as a final sample variance interval division scheme.
And the sample stability evaluation result characterizes the display stability of the laser display in a period of screen display time, and is in a score form. The sample stability evaluation result obtaining method is that a plurality of sample stability evaluation results of each sample difference interval are given based on a plurality of experts, and further mean values are obtained to obtain the sample stability evaluation result of each sample difference interval, so that a plurality of sample display stability evaluation results of a plurality of sample variance intervals are obtained.
The mapping relation between the sample variance intervals and the sample display stability evaluation results is constructed, the display stability evaluation result model is obtained, and based on the display stability evaluation result model, the scientific display stability evaluation result of the laser display device can be obtained quickly after the display quality evaluation result variance of the laser display device is obtained.
The variance of the multiple display quality evaluation results obtained in the step S500 is calculated, the variance calculation result is input into the display stability evaluation result model, the display stability evaluation result is obtained, the display stability evaluation result reflects the display stability of the local laser device, which is the first test area corresponding to the first test image, in the target laser device in the first time window, and the implementation achieves the technical effect of improving the scientificity and accuracy of obtaining the display stability of the laser display device.
And S700, performing display test on the target laser equipment based on the plurality of test images to obtain an average display stability evaluation result, and combining the plurality of average display quality evaluation results to generate a display quality detection result of the target laser equipment.
Specifically, in this embodiment, the same method is used for performing a display test on a local display device, which is a first test area of a target laser device, based on a first test image, and performing a display test on the target laser device based on the plurality of test images to obtain a plurality of display quality evaluation result sets, where each display quality evaluation result set includes a plurality of display quality evaluation results, and performing intra-set display quality evaluation result average calculation on the plurality of display quality evaluation result sets to obtain a plurality of average display quality evaluation results.
Inputting a plurality of display quality evaluation result sets of a plurality of test images into a display stability evaluation result model one by one to obtain a plurality of display stability evaluation results of the plurality of test images, further carrying out mean value calculation on the plurality of display stability evaluation results of the plurality of test images to obtain an average display stability evaluation result, wherein the average display stability evaluation result represents the average display stability of image display in the whole screen when the target laser device carries out image projection on the projection screen.
And the average display stability evaluation result and the plurality of average display quality evaluation results form a display quality detection result of the target laser equipment, and the overall screen display stability condition of the target laser equipment and the local display quality condition of each test area of the target display equipment can be obtained in a period of time based on the display quality detection result.
The embodiment realizes the improvement of the accuracy of the quality detection of the laser display equipment, and can intuitively know the overall and local display effect of the image generated by equipment projection in the projection formation of the laser display equipment based on the display quality detection result, thereby being convenient for positioning the display defect of the laser display equipment and providing reference technical effects for the design and detection of technicians and the like.
In one embodiment, as shown in fig. 3, there is provided a laser display quality detection analysis system, comprising: the system comprises a test image acquisition module 1, a test image display module 2, a multi-point test execution module 3, a detection result acquisition module 4, an evaluation result calculation module 5, a model analysis execution module 6 and a common result generation module 7, wherein:
the test image acquisition module 1 is used for acquiring a plurality of test images for performing display quality detection on target laser equipment, wherein the target laser equipment is laser display equipment for performing display quality detection;
a test image display module 2, configured to display a first test image in the plurality of test images by using the target laser device;
a multi-point test execution module 3, configured to test luminous fluxes, illuminance, and chromaticity in a plurality of points based on a multi-point method in a first time window during a display process of the first test image, and calculate average luminous fluxes, illuminance uniformity, and chromaticity uniformity;
The detection result obtaining module 4 is used for performing multipoint method detection based on a plurality of detection time windows to obtain a plurality of detection result sets;
the evaluation result calculation module 5 is configured to input the multiple detection result sets into a display quality evaluation model, obtain multiple display quality evaluation results, and calculate to obtain an average display quality evaluation result;
the model analysis execution module 6 is used for inputting the display quality evaluation results into a display stability evaluation result model to obtain a display stability evaluation result;
and the commonality result generating module 7 is used for performing display test on the target laser device based on the plurality of test images to obtain an average display stability evaluation result, and combining the plurality of average display quality evaluation results to generate a display quality detection result of the target laser device.
In one embodiment, the system further comprises:
the data acquisition execution unit is used for acquiring luminous flux, illuminance and chromaticity in 16 points based on a 16-point method in the display process of the first test image to obtain a first luminous flux set, a first illuminance set and a first chromaticity set;
and the data calculation execution unit is used for calculating and obtaining the average luminous flux, the illuminance uniformity and the chromaticity uniformity according to the first luminous flux set, the first illuminance set and the first chromaticity set.
In one embodiment, the system further comprises:
a time window acquisition unit configured to acquire a plurality of detection time windows based on the same time interval;
the time window processing unit is used for detecting and acquiring a plurality of average luminous fluxes, a plurality of illuminance uniformity and a plurality of chromaticity uniformity in the plurality of detection time windows;
the detection result obtaining unit is used for dividing the average luminous fluxes, the illuminance uniformity and the chromaticity uniformity according to the detection time windows to obtain the detection result sets.
In one embodiment, the system further comprises:
the quality evaluation execution unit is used for acquiring the average luminous flux of a plurality of samples, the illuminance uniformity of the plurality of samples and the chromaticity uniformity of the plurality of samples, and evaluating to obtain the display quality evaluation results of the plurality of samples;
an evaluation model construction unit, configured to construct the display quality evaluation model by using the average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples, the chromaticity uniformity of the plurality of samples, and the display quality evaluation results of the plurality of samples as construction data, where the display quality evaluation model includes a plurality of evaluation coordinate points, that is, a plurality of corresponding sample display quality evaluation results;
The model data filling unit is used for respectively inputting the plurality of detection result sets into the display quality evaluation model to obtain a plurality of target coordinate points;
the sample data obtaining unit is used for respectively obtaining M coordinate points which are nearest to the plurality of target coordinate points and M corresponding sample display quality evaluation results to obtain a plurality of sample display quality evaluation result sets;
and the sample data calculation unit is used for respectively acquiring sample display quality evaluation results with highest occurrence frequency in the plurality of sample display quality evaluation result sets, taking the sample display quality evaluation results as the plurality of display quality evaluation results, and calculating and acquiring the average display quality evaluation result.
In one embodiment, the system further comprises:
the evaluation coordinate construction unit is used for constructing a first coordinate axis, a second coordinate axis and a third coordinate axis based on the average luminous flux, the illuminance uniformity and the chromaticity uniformity as a first characteristic value, a second characteristic value and a third characteristic value to obtain an evaluation coordinate system;
a coordinate point obtaining unit, configured to combine the average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples, and the chromaticity uniformity of the plurality of samples to obtain a plurality of sample detection result sets, and input the evaluation coordinate system to obtain a plurality of sample coordinate points;
And the evaluation model identification unit is used for adopting the plurality of samples to display quality evaluation results, and carrying out one-to-one correspondence identification on the plurality of sample coordinate points to obtain the display quality evaluation model.
In one embodiment, the system further comprises:
the model construction execution unit is used for constructing the display stability evaluation result model;
and the calculation result evaluation unit is used for calculating variances of the display quality evaluation results, inputting the variance calculation results into the display stability evaluation result model, and obtaining the display stability evaluation result.
In one embodiment, the system further comprises:
a variance interval obtaining unit for obtaining a plurality of sample variance calculation results of the display quality evaluation result variance calculation and dividing to obtain a plurality of sample variance intervals;
a sample result obtaining unit, configured to obtain a plurality of sample display stability evaluation results according to the plurality of sample variance intervals;
and the mapping relation construction unit is used for constructing the mapping relation between the plurality of sample variance intervals and the plurality of sample display stability evaluation results to obtain the display stability evaluation result model.
For a specific embodiment of a laser display quality detection analysis system, reference is made to the above embodiments of a laser display quality detection analysis method, and the description thereof is omitted here. Each module in the laser display quality detection and analysis system can be implemented in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing news data, time attenuation factors and other data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a laser display quality detection analysis method.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of: acquiring a plurality of test images for performing display quality detection on target laser equipment, wherein the target laser equipment is laser display equipment for performing display quality detection; displaying a first test image in the plurality of test images by adopting the target laser device; in the display process of the first test image, testing luminous flux, illuminance and chromaticity in a plurality of points based on a multipoint method in a first time window, and calculating average luminous flux, illuminance uniformity and chromaticity uniformity; performing multipoint method detection based on a plurality of detection time windows to obtain a plurality of detection result sets; respectively inputting the multiple detection result sets into a display quality evaluation model to obtain multiple display quality evaluation results, and calculating to obtain an average display quality evaluation result; inputting the multiple display quality evaluation results into a display stability evaluation result model to obtain a display stability evaluation result; and performing display test on the target laser equipment based on the plurality of test images to obtain an average display stability evaluation result, and combining the plurality of average display quality evaluation results to generate a display quality detection result of the target laser equipment.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. A laser display quality detection analysis method, the method comprising:
acquiring a plurality of test images for performing display quality detection on target laser equipment, wherein the target laser equipment is laser display equipment for performing display quality detection;
displaying a first test image in the plurality of test images by adopting the target laser device;
In the display process of the first test image, testing luminous flux, illuminance and chromaticity in a plurality of points based on a multipoint method in a first time window, and calculating average luminous flux, illuminance uniformity and chromaticity uniformity;
performing multipoint method detection based on a plurality of detection time windows to obtain a plurality of detection result sets;
respectively inputting the multiple detection result sets into a display quality evaluation model to obtain multiple display quality evaluation results, and calculating to obtain an average display quality evaluation result;
inputting the multiple display quality evaluation results into a display stability evaluation result model to obtain a display stability evaluation result;
and performing display test on the target laser equipment based on the plurality of test images to obtain an average display stability evaluation result, and combining the plurality of average display quality evaluation results to generate a display quality detection result of the target laser equipment.
2. The method of claim 1, wherein during the displaying of the first test image, testing luminous flux, illuminance, chromaticity within a plurality of points based on a multi-point method at a first time window comprises:
in the display process of the first test image, acquiring luminous flux, illuminance and chromaticity in 16 points based on a 16-point method to obtain a first luminous flux set, a first illuminance set and a first chromaticity set;
And calculating to obtain the average luminous flux, the illuminance uniformity and the chromaticity uniformity according to the first luminous flux set, the first illuminance set and the first chromaticity set.
3. The method of claim 1, wherein performing a multi-point method of detection based on a plurality of detection time windows to obtain a plurality of detection result sets, comprises:
acquiring a plurality of detection time windows based on the same time interval;
detecting and acquiring a plurality of average luminous fluxes, a plurality of illuminance uniformity and a plurality of chromaticity uniformity in the plurality of detection time windows;
and dividing the average luminous fluxes, the illuminance uniformity and the chromaticity uniformity according to the detection time windows to obtain detection result sets.
4. The method of claim 1, wherein inputting the plurality of sets of detection results into a display quality assessment model to obtain a plurality of display quality assessment results, and calculating to obtain an average display quality assessment result, respectively, comprises:
obtaining average luminous flux of a plurality of samples, illuminance uniformity of the plurality of samples and chromaticity uniformity of the plurality of samples, and evaluating to obtain display quality evaluation results of the plurality of samples;
The average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples, the chromaticity uniformity of the plurality of samples and the display quality evaluation results of the plurality of samples are taken as construction data to construct the display quality evaluation model, wherein the display quality evaluation model comprises a plurality of evaluation coordinate points, namely a plurality of corresponding sample display quality evaluation results;
respectively inputting the plurality of detection result sets into the display quality evaluation model to obtain a plurality of target coordinate points;
respectively acquiring M coordinate points which are nearest to the target coordinate points and M corresponding sample display quality evaluation results to acquire a plurality of sample display quality evaluation result sets;
and respectively acquiring sample display quality evaluation results with highest occurrence frequency in the plurality of sample display quality evaluation result sets, taking the sample display quality evaluation results as the plurality of display quality evaluation results, and calculating to acquire the average display quality evaluation result.
5. The method of claim 4, wherein constructing the display quality assessment model using the plurality of sample average luminous fluxes, the plurality of sample illuminance uniformity, the plurality of sample chromaticity uniformity, and the plurality of sample display quality assessment results as construction data comprises:
Based on the average luminous flux, the illuminance uniformity and the chromaticity uniformity, a first coordinate axis, a second coordinate axis and a third coordinate axis are constructed as a first characteristic value, a second characteristic value and a third characteristic value, and an evaluation coordinate system is obtained;
combining the average luminous flux of the plurality of samples, the illuminance uniformity of the plurality of samples and the chromaticity uniformity of the plurality of samples to obtain a plurality of sample detection result sets, and inputting the evaluation coordinate system to obtain a plurality of sample coordinate points;
and displaying quality evaluation results by adopting the plurality of samples, and marking the plurality of sample coordinate points in a one-to-one correspondence manner to obtain the display quality evaluation model.
6. The method of claim 1, wherein inputting the plurality of display quality assessment results into a display stability assessment result model to obtain a display stability assessment result comprises:
constructing the display stability evaluation result model;
and calculating variances of the display quality evaluation results, and inputting the variance calculation results into the display stability evaluation result model to obtain the display stability evaluation result.
7. The method of claim 6, wherein constructing the display stability assessment result model comprises:
Obtaining a plurality of sample variance calculation results for performing display quality evaluation result variance calculation, and dividing to obtain a plurality of sample variance intervals;
setting and obtaining a plurality of sample display stability evaluation results according to the plurality of sample variance intervals;
and constructing a mapping relation between the multiple sample variance intervals and the multiple sample display stability evaluation results, and obtaining the display stability evaluation result model.
8. A laser display quality inspection analysis system, the system comprising:
the system comprises a test image acquisition module, a display quality detection module and a display quality detection module, wherein the test image acquisition module is used for acquiring a plurality of test images for performing display quality detection on target laser equipment, wherein the target laser equipment is laser display equipment to be subjected to display quality detection;
the test image display module is used for displaying a first test image in the plurality of test images by adopting the target laser equipment;
the multi-point test execution module is used for testing luminous flux, illuminance and chromaticity in a plurality of points based on a multi-point method in a first time window in the display process of the first test image, and calculating average luminous flux, illuminance uniformity and chromaticity uniformity;
the detection result obtaining module is used for carrying out multipoint method detection based on a plurality of detection time windows to obtain a plurality of detection result sets;
The evaluation result calculation module is used for respectively inputting the detection result sets into the display quality evaluation model to obtain a plurality of display quality evaluation results, and calculating to obtain an average display quality evaluation result;
the model analysis execution module is used for inputting the multiple display quality evaluation results into a display stability evaluation result model to obtain a display stability evaluation result;
and the commonality result generating module is used for carrying out display test on the target laser equipment based on the plurality of test images to obtain an average display stability evaluation result, and combining the plurality of average display quality evaluation results to generate a display quality detection result of the target laser equipment.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310480440.0A CN116593128A (en) | 2023-04-28 | 2023-04-28 | Laser display quality detection and analysis method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310480440.0A CN116593128A (en) | 2023-04-28 | 2023-04-28 | Laser display quality detection and analysis method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116593128A true CN116593128A (en) | 2023-08-15 |
Family
ID=87589087
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310480440.0A Pending CN116593128A (en) | 2023-04-28 | 2023-04-28 | Laser display quality detection and analysis method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116593128A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004039804A (en) * | 2002-07-02 | 2004-02-05 | Iisen Chin | System and method of monitoring and controlling quality of crystal thin film |
| KR101515387B1 (en) * | 2014-04-22 | 2015-04-28 | 경북대학교 산학협력단 | Method of perceptual quality assessment on display, recording medium and device for performing the method |
| CN105430386A (en) * | 2015-12-15 | 2016-03-23 | 深圳市时代华影科技股份有限公司 | Projection quality evaluation system of 3D projection system based on multipoint detection |
| CN105721858A (en) * | 2014-12-01 | 2016-06-29 | 深圳超多维光电子有限公司 | Method, equipment and system for evaluating display effect of stereo display device |
| CN108495105A (en) * | 2018-03-23 | 2018-09-04 | 青岛海信电器股份有限公司 | Image processing apparatus, method and laser projection device |
| CN112614109A (en) * | 2020-12-24 | 2021-04-06 | 四川云从天府人工智能科技有限公司 | Image quality evaluation method, device and computer readable storage medium |
| CN113012607A (en) * | 2019-12-19 | 2021-06-22 | 西安诺瓦星云科技股份有限公司 | Display module detection method, device and system |
| CN113570541A (en) * | 2021-01-26 | 2021-10-29 | 腾讯科技（北京）有限公司 | Image quality evaluation method and device, electronic equipment and storage medium |
| CN115841794A (en) * | 2023-02-22 | 2023-03-24 | 武汉精立电子技术有限公司 | OLED display screen detection method and device, display image processing method and equipment |
| CN115861152A (en) * | 2021-09-24 | 2023-03-28 | 广州视源创新科技有限公司 | Method, system, device and medium for detecting defective area of display screen |
| CN115902227A (en) * | 2022-12-22 | 2023-04-04 | 巴迪泰（广西）生物科技有限公司 | Detection evaluation method and system of immunofluorescence kit |
-
2023
- 2023-04-28 CN CN202310480440.0A patent/CN116593128A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004039804A (en) * | 2002-07-02 | 2004-02-05 | Iisen Chin | System and method of monitoring and controlling quality of crystal thin film |
| KR101515387B1 (en) * | 2014-04-22 | 2015-04-28 | 경북대학교 산학협력단 | Method of perceptual quality assessment on display, recording medium and device for performing the method |
| CN105721858A (en) * | 2014-12-01 | 2016-06-29 | 深圳超多维光电子有限公司 | Method, equipment and system for evaluating display effect of stereo display device |
| CN105430386A (en) * | 2015-12-15 | 2016-03-23 | 深圳市时代华影科技股份有限公司 | Projection quality evaluation system of 3D projection system based on multipoint detection |
| CN108495105A (en) * | 2018-03-23 | 2018-09-04 | 青岛海信电器股份有限公司 | Image processing apparatus, method and laser projection device |
| CN113012607A (en) * | 2019-12-19 | 2021-06-22 | 西安诺瓦星云科技股份有限公司 | Display module detection method, device and system |
| CN112614109A (en) * | 2020-12-24 | 2021-04-06 | 四川云从天府人工智能科技有限公司 | Image quality evaluation method, device and computer readable storage medium |
| CN113570541A (en) * | 2021-01-26 | 2021-10-29 | 腾讯科技（北京）有限公司 | Image quality evaluation method and device, electronic equipment and storage medium |
| CN115861152A (en) * | 2021-09-24 | 2023-03-28 | 广州视源创新科技有限公司 | Method, system, device and medium for detecting defective area of display screen |
| CN115902227A (en) * | 2022-12-22 | 2023-04-04 | 巴迪泰（广西）生物科技有限公司 | Detection evaluation method and system of immunofluorescence kit |
| CN115841794A (en) * | 2023-02-22 | 2023-03-24 | 武汉精立电子技术有限公司 | OLED display screen detection method and device, display image processing method and equipment |
Non-Patent Citations (1)
| Title |
|---|
| 梁晓霞: "基于光学模型的LED显示屏图像质量评估方法的研究", 《信息科技》, 15 December 2010 (2010-12-15), pages 15 - 39 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109752394A (en) | A kind of display screen defect high-precision detecting method and system | |
| CN111401246B (en) | Smoke concentration detection method, device, equipment and storage medium | |
| CN102930850A (en) | GAMMA curve adjustment method and GAMMA curve adjustment system | |
| CN107229560A (en) | A kind of interface display effect testing method, image specimen page acquisition methods and device | |
| US20230410369A1 (en) | Method and apparatus for adjusting an image acquisition apparatus, compensation method of a display panel, device and medium | |
| CN116049863B (en) | System, method and application for generating stripe light by LCD display screen | |
| JP2020129439A (en) | Information processing system and information processing method | |
| CN110308346A (en) | Cockpit display system automatic test approach and system based on image recognition | |
| CN114968743A (en) | Abnormal event monitoring method, device, equipment and medium | |
| CN116593128A (en) | Laser display quality detection and analysis method and system | |
| CN115481941B (en) | Multifunctional area combined intelligent security management method and system | |
| CN111724054A (en) | Evaluation method, device, terminal equipment and storage medium | |
| US10529453B2 (en) | Tool that analyzes image data and generates and displays a confidence indicator along with a cancer score | |
| CN111131905A (en) | Image quality detection method, device, equipment and storage medium | |
| Vázquez et al. | Perception-based illumination information measurement and light source placement | |
| WO2021161628A1 (en) | Machine learning method, and information processing device for machine learning | |
| CN114648462A (en) | Monitoring operation monitoring method based on image quality | |
| US11055897B2 (en) | Methods and apparatuses for image control and display of particle analyzer images | |
| CN106168922A (en) | Method of testing that a kind of terminal interface shows and device | |
| CN106730844B (en) | A kind of scene runing time test method and device | |
| CN101276457B (en) | Verification pattern algorithm and system and method for realizing RTL | |
| JP2001016622A (en) | Debug device and test method for image pickup device | |
| Cui et al. | SJTU-TMQA: A quality assessment database for static mesh with texture map | |
| US20240068962A1 (en) | X-ray imaging system and learned model production method | |
| CN116894930B (en) | Digital job guidance system based on AI+AR |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |