Thermal imaging detection method based on row-column variable-step segmentation and region growing method

A technology of region growing method and detection method, which is applied in the field of thermal imaging detection based on row-column variable step size segmentation and region growing method, can solve the problems of long period, poor safety and low efficiency, etc.

Active Publication Date: 2018-11-06
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It does not damage the body, is fast and efficient, and can effectively solve the problems of traditional nondestructive testing methods such as high

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
  • Thermal imaging detection method based on row-column variable-step segmentation and region growing method
  • Thermal imaging detection method based on row-column variable-step segmentation and region growing method
  • Thermal imaging detection method based on row-column variable-step segmentation and region growing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0063] figure 1 It is a flow chart of the thermal imaging detection method based on the row-column variable step-length segmentation and the region growing method of the present invention.

[0064] In this embodiment, a thermal imaging detection method based on row-column variable step-length segmentation and region growing method of the present invention includes the following steps:

[0065] S1. The eddy current pulse thermal image is represented by a three-dimensional matrix S, wherein S(i, j,:) represents the i-th row and the j-th column of the three-dimensional matrix S, and the third dimension represents time;

[0066] S2, select the point S(I) with the maximum pixel value from the three-dimensional matrix S zz ,J zz , T zz ), among them, I zz 、J zz and T zz Respectively represent the row corresponding value, column corresponding value and time corresponding value of the maximum pixel value point;

[0067] S3. Set K temperature thresholds T(m) from large to small,...

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 thermal imaging detection method based on row-column variable-step segmentation and a region growing method. According to the method, a maximum pixel value point is selectedfrom an eddy current pulse thermal image, a correlation coefficient is calculated by use of a Pearson correlation coefficient method according to the maximum pixel value point, and then a variable step is obtained; then, a transient thermal response of each pixel point is calculated in combination with the variable step, and classification processing is performed; next, all the pixel points are subjected to defuzzification according to the membership maximization criterion, and the category of each pixel point is obtained; and last, the region growing algorithm is adopted to perform feature extraction after dimension reduction processing, and therefore defect features of the eddy current pulse thermal image are extracted.

Description

technical field [0001] The invention belongs to the technical field of defect detection, and more specifically relates to a thermal imaging detection method based on row-column variable-step-length segmentation and region-growing method. Background technique [0002] The manufacture of high-pressure vessels involves the cooperation of subject knowledge and professional technology in multiple industries, including: metallurgy, corrosion and protection, machining, safety protection, chemical industry, and testing. With the continuous advancement of technology in various industries in recent years, especially the development of metallurgy, machining, welding and non-destructive testing driven by the rapid development of computer technology, pressure vessel manufacturing technology has made great progress. [0003] Gas compression technology is widely used in natural gas vehicle filling stations and compressed air-powered vehicle filling stations, and natural gas vehicle filling...

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): G06T7/00G06T7/11G06T7/187G06T5/00G06T7/13
Inventor 殷春张博程玉华黄雪刚巩德兴薛婷张昊楠
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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