Method for machine vision detection in allusion to self-focusing lens surface defect

A technology of machine vision inspection and self-focusing lens, which is applied in the direction of material analysis, instruments, and measuring devices through optical means, and can solve the problems of low manual inspection efficiency and unstable inspection quality

Active Publication Date: 2017-10-17
XIAN UNIV OF TECH
View PDF5 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for machine vision detection of surface defects of self-f

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for machine vision detection in allusion to self-focusing lens surface defect
  • Method for machine vision detection in allusion to self-focusing lens surface defect
  • Method for machine vision detection in allusion to self-focusing lens surface defect

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] The technical solution adopted in the present invention is a method for machine vision detection of surface defects of self-focusing lenses, the process of which is as follows figure 1 As shown, the specific steps are as follows:

[0048] Step 1, control 1+n groups of light sources to turn on and off at different times, and obtain 1+n original images of the two end faces of the self-focusing lens respectively, that is, two groups of 1+n original images are obtained, among which, the first The group of light sources is a 90° direct ring light source, which is used for target circle positioning and detection of significant chipping, pitting, and scratches. In addition, n groups of light sources are n point light sources located on a 360-degree circle, used to shoot at different angles Slight scratch images that can only be observed, 1+n...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for machine vision detection in allusion to a self-focusing lens surface defect. The method comprises the following steps: 1, controlling open and close of 1+n groups of light sources, to obtain 1+n original images of two end faces of a self-focusing lens; 2, using the first image, executing the circular target area image location and 8-degree slope and right-angle surface judgment, using dynamic threshold segmentation to obtain a binary image, extracting the suspected defect area feature, and giving out the product qualified or unqualified judgment; 3, if the judgment is a qualified product, dividing the target image on n rest images according to the circular target area position, executing median filtering differential treatment to the target mage, and executing pit detection, executing the scratch detection on the divided target image by using the shape feature of the tiny scratch, and giving out a detection result; and 4, executing the defect detection to 1+n images of two end faces, and executing the comprehensive judgment to the product. The method is capable of solving the problem in the prior art that the artificial detection efficiency is low and the detection quality is unstable.

Description

technical field [0001] The invention belongs to the technical field of detection methods for surface defects of industrial products, and relates to a method for machine vision detection for surface defects of self-focusing lenses. Background technique [0002] Self-focusing lens is a kind of tiny optical device widely used in optical fiber communication, micro optical system, medical optical instrument and other equipment, and its surface quality has a great influence on the performance of the product. Its surface quality defects are mainly chipping, pitting and scratches, and the probability of scratches is higher. The prior art is to observe the position, size and type of defects manually under a microscope, and subjectively determine the classification level of the defects. This method has the following disadvantages: the detection efficiency is low, the work intensity is high, the product quality is greatly affected by human factors, the inspection quality varies from p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01N21/958
CPCG01N21/8851G01N21/958G01N2021/8858G01N2021/8887G01N2021/9583
Inventor 吴学毅
Owner XIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap