Quantitative detection method for glare defect of optical lens

A quantitative detection method and optical lens technology, applied in the field of optics, can solve problems such as poor accuracy, poor consistency and repeatability, inconvenient and intuitive viewing of test results, failure to meet quality and efficiency requirements, etc., and achieve uniform and neat distribution of light spots , easy to view directly, and high production efficiency

Pending Publication Date: 2022-06-24
深圳元子光电视觉科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method relies on manual visual judgment, and the accuracy, consistency, and repeatability of obtaining lens flare defects are not good, the production efficiency is low, and the traceability is poor. It cannot meet the quality and efficiency requirements of mass production of lenses. The above-mentioned patents introduce For glare detection, the detection results are inaccurate, and the detection results are not easy for inspection personnel to view intuitively

Method used

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  • Quantitative detection method for glare defect of optical lens
  • Quantitative detection method for glare defect of optical lens
  • Quantitative detection method for glare defect of optical lens

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] like figure 1 As shown in the figure, a quantitative detection method for glare defects of an optical lens includes the following steps:

[0036] Sp1: Assembly of equipment: installation of test target and tested target;

[0037] Sp2: image acquisition: the setting of the value, the image acquisition of the tested target and transmission to the computer 4 for saving;

[0038] Sp3: Image processing: process the original image through luminance binarization;

[0039] Sp4: Image classification: The spot image and background image of the extracted and processed image are classified and saved;

[0040] Sp5: Analysis of spot image: analyze the image of the classified spot image and compare it with the standard sample;

[0041] Sp6: Background image analysis: image analysis of the classified background image;

[0042] Sp7: Analysis of multiple binarization thresholds: Set multiple different binarization parameters to analyze the image.

Embodiment 2

[0044] like Figure 2-4 As shown in the figure, the circular light source array 1 with a black background is the detection target, and the target light board is a light-emitting array composed of 64 to 100 light-emitting diodes equally spaced and evenly distributed. 4500K-6500K, the luminous flux is more than 200 lumens, the background of the lamp board is blackened, the video sensor chip 3 matches the imaging area and imaging resolution of the tested lens 2, the video sensor chip 3 is a picture acquisition device, and the circular light source array 1 is located in The top surface of the lens under test 2, the bottom of the lens under test 2 is placed with a video sensor chip 3, the video sensor chip 3 is electrically connected to the computer 4, and the position where the lens under test 2, the video sensor chip 3 and the circular light source array 1 are installed is in the imaging position The proper position of the optical axis makes the image clear, the field of view is ...

Embodiment 3

[0046] like Figure 5-9As shown in the figure, the threshold parameter of binarization is set by the user, and the binarization processes the image saved by the computer 4. After the binarization image is processed, the bright part is the spot image, and the remaining part of the bright part is the background image, and the spot is analyzed. The quality of each circular spot is shown in the figure. The quality analysis includes the area of ​​each circular spot and the circularity of the single-point spot, which can display a single ring in a bad area. The quality distribution of the single point in the The point mass distribution is compared with the single point mass distribution of the standard sample, and the quality of the spot image of the tested lens 2 is graded. The video sensor chip 3 is electrically connected to the computer 4, and the image is collected and transmitted to the computer 4 for storage. The user can set two values. The brightness binarization process is ...

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Abstract

The invention provides a quantitative detection method for glare defects of an optical lens, which relates to the technical field of optics and comprises the following steps: mounting a test target and a tested target, setting numerical values, collecting pictures of the tested target and transmitting the pictures to a computer for storage. The installation positions of the measured lens, the video sensor chip and the circular light source array are appropriate positions of an imaging optical axis, original pictures are processed through brightness binarization, light spot pictures and background pictures of the processed pictures are extracted and stored in a classified mode, the light spot pictures serve as bright regions, and the background pictures serve as residual bright regions. According to the method, the classified light spot images are subjected to image analysis and are compared with standard samples, the classified background images are subjected to image analysis, and a plurality of different binarization parameters are set to analyze the images, so that machine automatic quantitative measurement of the imaging performance of the lens is realized, and deviation caused by manual judgment is avoided; and the accuracy, the consistency and the repeatability of the test data are improved.

Description

technical field [0001] The invention relates to the technical field of optics, in particular to a quantitative detection method for glare defects of an optical lens. Background technique [0002] The patent number is CN201910398159.6, a glare detection device, including a light irradiation part, a receiving part, and a data processor. The light irradiation part is provided with a plurality of light sources, and the plurality of light sources and the measured object are separated by a predetermined distance. The receiving part is electrically connected to the measured object; the data processor receives the image captured by the measured object of the light irradiation part through the receiving part electrically connected to the measured object, and corresponds to each complex light source contained in the captured image The number of glare around the image of the complex light source is determined to determine whether the measured object is in a bad state. The beneficial ef...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06V10/75G06V10/764G06K9/62H04N17/00
CPCG06T7/0002H04N17/002G06F18/22G06F18/24
Inventor 张波马彪宋永辉
Owner 深圳元子光电视觉科技有限公司
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