Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Fluorescent magnetic powder automatic flaw detection color image preprocessing method

A color image, flaw detection technology, applied in the direction of optical testing flaws/defects, measuring devices, material magnetic variables, etc., can solve problems such as missed detection and misjudgment, and achieve the effect of simplifying identification procedures and processing time

Inactive Publication Date: 2018-08-17
SHANGHAI SPACE PRECISION MACHINERY RES INST
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the inspection of mass-produced parts such as aviation blades, conventional guns, and bearing rollers often requires multiple inspectors to complete the inspection of thousands of parts every day. The problem of missed detection and misjudgment

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
  • Fluorescent magnetic powder automatic flaw detection color image preprocessing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0022] The present invention is a method for preprocessing the color image extracted in the fluorescent magnetic powder automatic flaw detection process. According to the RGB pixel distribution characteristics of the color image, the method extracts the image of the target pixel area from the color image collected by the color CDD camera. This method Better denoise and segment the collected images, effectively suppress interference such as magnetic concentration, external lighting, shadows, etc., so as t...

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

A fluorescent magnetic powder automatic flaw detection color image preprocessing method provided by the invention comprises the following steps: 1, extracting an original color image from a color CCDcamera; 2, converting the original color image into an oscillogram; 3, converting a target fluorescent color value into a target pixel value; and 4, extracting the image. Compared with the prior art,the method can well denoise and segment the collected image and effectively suppress magnetism gathering, external illumination, shadow and other interferences in order to simplify the recognition process and shorten the processing time.

Description

technical field [0001] The invention relates to automatic flaw detection by means of fluorescent magnetic powder on the surface or near surface of a workpiece based on machine vision. Background technique [0002] Non-destructive testing of traditional military products is usually done manually to identify product defects. However, the inspection of mass-produced parts such as aviation blades, conventional guns, and bearing rollers often requires multiple inspectors to complete the inspection of thousands of parts every day. Missed detection and misjudgment problems. Moreover, non-destructive testing technology is developing in the direction of non-destructive evaluation, and automation and intelligence are the general trend. Automatic product defect image recognition technology is the key to intelligent non-destructive testing equipment, and it is bound to be widely used in the non-destructive testing industry. Contents of the invention [0003] In view of the defects ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/84G01N21/88
CPCG01N21/8851G01N27/84G01N2021/8887
Inventor 吴远峰金翠娥刘颖卓成群林张小龙危荃何军陈浩
Owner SHANGHAI SPACE PRECISION MACHINERY RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com