Real-time detecting method of metal arc plane flaw based on machine vision

A technology for polishing metal and real-time detection, applied in instruments, measuring devices, scientific instruments, etc., can solve the problems of background image extraction errors, narrow effective area, and high reflectivity

Active Publication Date: 2012-09-19
JIANGSU LANCHAUNG INFORMATION TECH SERVICESCO LTD
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are still several problems in the detection of such workpieces: (1) Due to the high reflectivity of the surface of the polished arc-shaped workpiece, the reflection angle of the reflected light received by the camera is different, so it is difficult to

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
  • Real-time detecting method of metal arc plane flaw based on machine vision
  • Real-time detecting method of metal arc plane flaw based on machine vision
  • Real-time detecting method of metal arc plane flaw based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0072] The purpose of the present invention is to carry out real-time detection of flaws on polished metal arc-shaped surfaces. Since the surface of polished metal arc-shaped surfaces is smooth, the diffuse reflectance is low, and the surface is arc-shaped, the intensity of light emitted by surfaces at different spatial positions is different, so it is difficult to obtain Wide image with uniform brightness. According to this problem, a method based on offline learning knowledge for real-time detection of polished metal arc-shaped surfaces and online real-time detection of defects is proposed.

[0073] Such as figure 1 As shown, when collecting images, the present invention includes a base 140, the base 140 is provided with a vertically distributed support frame 110, and the metal arc-shaped surface can be supported by the support frame 110; the base 140 is als...

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 relates to a real-time detecting method of metal arc plane flaws based on machine vision. The method comprises the following steps: step 1. obtaining N first sample images and M second sample images under the off-line condition, and carrying out data combination; step 2. establishing an image histogram after the combination so as to obtain a linear relationship equation between an image background and a corresponding gray value; step 3. calculating a refection component of a first sample image and a second sample image selected; step 4. establishing a corresponding relationship equation between a qualified working refection component standard difference and a corresponding gray value; step 5. on-line obtaining a detection image of a polished metal arc plane workpiece at real time, and calculating a first standard difference and a second standard difference; step 6. carrying out threshold partitioning so as to obtain a corresponding binary image; and step 7. comparing the connected region area of the binary image with a preset judgment threshold so as to judge the flaws of the polished metal arc plane. According to the method, the operation is convenient, the detection precision is high, the detection adaptability is good, and the stability and the reliability are realized.

Description

technical field [0001] The invention relates to a detection method, in particular to a machine vision-based real-time detection method for flaws on polished metal arcuate surfaces, belonging to the technical field of polished metal arcuate surface detection. Background technique [0002] In industrial production, with the continuous improvement of industrial technology, the quality requirements of products also increase. The traditional monitoring of workpiece quality mainly depends on manual visual inspection. Due to the influence of the subjective factors of the inspectors, it is easy to have false detections and missed detections, and manual visual inspection has low efficiency, low accuracy and insufficient standardization. The detection results are closely related to the personal ability and mental state of the inspectors. , the stability and reliability are relatively poor. In addition, the detection data classification cannot be sent to the computer in real time for a...

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): G01N21/952
Inventor 白瑞林温振市
Owner JIANGSU LANCHAUNG INFORMATION TECH SERVICESCO LTD
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