CN-122023323-A - Machine difference control method and standard optical system

CN122023323ACN 122023323 ACN122023323 ACN 122023323ACN-122023323-A

Abstract

The application relates to a machine difference control method and a standard optical system. The method comprises the steps of carrying out flat field correction on cameras under different working distances, shooting an object to be detected under different flat field correction conditions, selecting a plurality of characteristic points, measuring the characteristic points of the same picture and the same position of the object to be detected to obtain corresponding first characteristic values, determining measurement data, selecting the working distance with the smallest deviation as the optimal calibration distance, selecting a camera with qualified first calibration as a reference template, shooting a high-uniformity optical integrating sphere, extracting second characteristic values of uniformly distributed points, comparing the third characteristic values extracted by each camera with the second characteristic values, and determining that the corresponding camera is qualified in calibration under the condition that the maximum difference value between the third characteristic values and the second characteristic values meets the preset specification, otherwise, carrying out calibration again. The method can improve the calibration precision and effectively control the machine difference.

Inventors

DUAN YU
SUN PEI
TANG FANGHUI

Assignees

华兴源创(成都)科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260128

Claims (10)

1. A machine difference control method, characterized by being applied to a standard optical system, comprising: The camera is subjected to flat field correction under different working distances by shooting a high-uniformity optical integrating sphere; shooting an object to be detected under different flat field correction conditions through a camera to obtain a shooting image, selecting a plurality of characteristic points from the shooting image, and measuring to obtain corresponding first characteristic values; Measuring characteristic points of the same picture and the same position of the object to be detected through a color analyzer to obtain measurement data, comparing the measurement data with first characteristic values of corresponding characteristic points, and selecting the working distance with the smallest deviation as the optimal calibration distance; calibrating the camera through the optimal calibration distance, selecting a first camera which is qualified in calibration as a reference template, shooting the Gao Junyi optical integrating sphere and extracting a second characteristic value of uniformly distributed points; Comparing the third characteristic value extracted by each camera with the second characteristic value, and determining that the corresponding camera is calibrated to be qualified under the condition that the maximum difference value between the third characteristic value and the second characteristic value meets the preset specification, or else, calibrating again.
2. The method according to claim 1, wherein capturing the object to be detected by the camera under different field correction conditions to obtain a captured image, selecting a number of feature points from the captured image and measuring to obtain corresponding first feature values, comprises: After the shot image of the object to be detected is processed by an interpolation algorithm, a first preset number of characteristic points are uniformly selected for measurement, and the data are normalized to obtain corresponding first characteristic values.
3. The method according to claim 2, wherein the measuring the feature points of the same picture and the same position of the object to be detected by the color analyzer to obtain measurement data, comparing the measurement data with the first feature values of the corresponding feature points, and selecting the working distance with the smallest deviation as the optimal calibration distance, includes: Measuring the first preset number of characteristic points of the same picture and the same position of the object to be detected through a color analyzer, determining measurement data, performing point-to-point difference on the measurement data and the first characteristic value of the corresponding characteristic point, and taking the maximum absolute value as deviation; and selecting the corresponding working distance with the minimum deviation as the optimal calibration distance according to the calibration data under different flat field correction conditions.
4. The method according to claim 1, wherein calibrating the camera by the optimal calibration distance, selecting a first calibrated qualified camera as a reference template, photographing the Gao Junyi optical integrating sphere, and extracting a second characteristic value of uniformly distributed points, includes: Calibrating the camera through the optimal calibration distance, selecting a camera qualified by the first calibration as a reference template, shooting a high-uniformity optical integrating sphere, selecting characteristic points distributed in an array mode according to preset pixel intervals in an imaging picture, measuring characteristic values of the characteristic points, carrying out normalization processing by taking the characteristic points at the central position as a reference, and extracting second characteristic values of uniformly distributed point positions.
5. The method according to claim 4, wherein comparing the third feature value extracted by each camera with the second feature value, and determining that the corresponding camera is calibrated to be qualified if a maximum difference value between the third feature value and the second feature value meets a preset specification, otherwise, re-calibrating the camera includes: And calculating the difference value between the third characteristic value extracted by each camera and the second characteristic value point to point according to the corresponding sequence, taking the absolute values of all the difference values, determining that the corresponding camera is calibrated to be qualified if the maximum value in the absolute values is smaller than a preset threshold value, and recalibrating the corresponding camera if the maximum value in the absolute values is larger than or equal to the preset threshold value, and determining that the corresponding camera is not qualified after recalibration for preset times.
6. A standard optical system is characterized by comprising a calibration light source, an imaging assembly, a standard measuring instrument and a control unit, wherein the calibration light source comprises a high-uniformity optical integrating sphere, the Gao Junyi optical integrating sphere is used for providing standard uniform pictures and is used for shooting by the imaging assembly to finish flat field correction, the imaging assembly comprises a camera, the camera is used for shooting an object to be detected under different flat field correction conditions to obtain shooting images, a plurality of characteristic points are selected from the shooting images and are measured to obtain corresponding first characteristic values, the Gao Junyi optical integrating sphere is shot and is used for extracting second characteristic values of uniformly distributed points, the standard measuring instrument comprises a color analyzer and is used for measuring measured data of the same picture and the same position characteristic points of the object to be detected, the control unit is respectively connected with the calibration light source, the imaging assembly and the standard measuring instrument in a signal mode, and the control unit is used for controlling all components to cooperatively execute flat field correction, characteristic value measurement and extraction, data comparison, optimal calibration distance and machine difference judgment operation so as to realize accurate calibration of the camera and machine difference control among the multiple sets of imaging assemblies.
7. The standard optical system according to claim 6, wherein the control unit is further configured to perform interpolation processing on the image of the object to be detected that is captured by the imaging component, uniformly select a first preset number of feature points for measurement, and normalize the data to obtain a corresponding first feature value.
8. The standard optical system according to claim 7, wherein the color analyzer is further configured to measure the first preset number of feature points of the same picture and the same position of the object to be detected, determine measurement data, perform a point-to-point difference between the measurement data and a first feature value of a corresponding feature point, and take an absolute maximum value as a deviation; The control unit can select the corresponding working distance when the deviation is minimum as the optimal calibration distance according to the calibration data under different flat field correction conditions.
9. The standard optical system according to claim 6, wherein when the imaging component shoots the high-uniformity optical integrating sphere, the imaging component selects the characteristic points distributed in an array mode according to preset pixel intervals in an imaging picture, and the control unit is further used for measuring the characteristic values of the characteristic points and performing normalization processing based on the characteristic points at the central positions to extract the second characteristic values of the uniformly distributed points.
10. The standard optical system according to claim 9, wherein the control unit is further configured to calculate the difference between the third feature value extracted by each camera and the second feature value point-to-point in a corresponding order, take absolute values of all the difference values, determine that the corresponding camera is calibrated to be qualified if a maximum value of the absolute values is smaller than a preset threshold value, recalibrate the corresponding camera if the maximum value of the absolute values is greater than or equal to the preset threshold value, and determine that the corresponding camera is not qualified after recalibration for a preset number of times.

Description

Machine difference control method and standard optical system Technical Field The application relates to the technical field of display, in particular to a machine difference control method and a standard optical system. Background With the continuous iteration of display technology, an OLED (Organic Light-Emitting Diode) semiconductor display is widely applied to various electronic terminal products by virtue of the outstanding advantages of self-luminescence, high contrast, wide viewing angle, low power consumption and the like, and the requirements of the market on the display quality thereof are increasingly severe. In the production and manufacturing process of OLED display products, mura defects of the products need to be accurately identified and repaired through the optical system, so that the optical system is required to have extremely high measurement precision, and good consistency among multiple sets of optical systems with the same specification is required to be maintained, so that uneven product repairing effects caused by differences among the systems are avoided. In the related art, a fixed working distance is generally adopted for calibrating an optical system, an optical integrating sphere is shot by a camera to carry out flat field correction, then the integrating sphere is shot, and whether calibration is qualified or not is judged according to the uniformity degree of an image. The calibration method does not consider factors such as back flange parameter differences of different cameras, focal lengths of different lenses, aperture differences and the like, so that the working distance adopted by calibration is not matched with the working distance in practical application, meanwhile, the calibration precision is difficult to ensure only by judging the uniformity of the images of the calibration objects, the machine differences among multiple sets of systems cannot be effectively controlled, and further the compensation effect of the multiple sets of systems on OLED products is inconsistent, so that the yield and quality stability of the products are affected. Disclosure of Invention In view of the foregoing, it is necessary to provide a machine difference control method and a standard optical system capable of improving calibration accuracy and effectively controlling machine difference. In a first aspect, the present application provides a machine difference control method applied to a standard optical system, the method comprising: The camera is subjected to flat field correction under different working distances by shooting a high-uniformity optical integrating sphere; shooting an object to be detected under different flat field correction conditions through a camera to obtain a shooting image, selecting a plurality of characteristic points from the shooting image, and measuring to obtain corresponding first characteristic values; Measuring characteristic points of the same picture and the same position of the object to be detected through a color analyzer to obtain measurement data, comparing the measurement data with first characteristic values of corresponding characteristic points, and selecting the working distance with the smallest deviation as the optimal calibration distance; calibrating the camera through the optimal calibration distance, selecting a first camera which is qualified in calibration as a reference template, shooting the Gao Junyi optical integrating sphere and extracting a second characteristic value of uniformly distributed points; Comparing the third characteristic value extracted by each camera with the second characteristic value, and determining that the corresponding camera is calibrated to be qualified under the condition that the maximum difference value between the third characteristic value and the second characteristic value meets the preset specification, or else, calibrating again. In some embodiments of the method, the capturing, by a camera, the object to be detected under different field correction conditions to obtain a captured image, selecting a plurality of feature points from the captured image and measuring to obtain corresponding first feature values, including: After the shot image of the object to be detected is processed by an interpolation algorithm, a first preset number of characteristic points are uniformly selected for measurement, and the data are normalized to obtain corresponding first characteristic values. In some embodiments of the method, the measuring, by a color analyzer, feature points of the same picture and the same position of the object to be detected to obtain measurement data, comparing the measurement data with first feature values of corresponding feature points, and selecting a working distance with the smallest deviation as an optimal calibration distance, including: Measuring the first preset number of characteristic points of the same picture and the same position of the object to be detected through a col