Feature Analysis and Reconstruction Method of Information Entropy Multiplicative Fuzzy Defects Based on Infrared Thermal Imaging

A technology of infrared thermal imaging and feature analysis, applied in the field of defect detection, to achieve the effects of complete and accurate description, precise defect extraction, and accurate clustering

Active Publication Date: 2022-03-25
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional FCM algorithm cannot completely express the characteristics of each element, and many useful pixel features will be lost during the processing of defect information in different spaces and in different degrees. In order to solve this kind of problem, the present invention proposes a new objective function, including It not only improves the information of feature elements, but also handles the mutual interference between different degrees of defects.

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
  • Feature Analysis and Reconstruction Method of Information Entropy Multiplicative Fuzzy Defects Based on Infrared Thermal Imaging
  • Feature Analysis and Reconstruction Method of Information Entropy Multiplicative Fuzzy Defects Based on Infrared Thermal Imaging
  • Feature Analysis and Reconstruction Method of Information Entropy Multiplicative Fuzzy Defects Based on Infrared Thermal Imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0065] figure 1 This is the flow chart of the method for analyzing and reconstructing information entropy multiplicative fuzzy defect feature based on infrared thermal imaging of the present invention.

[0066] In this embodiment, as figure 1 As shown, a defect reconstruction and feature extraction method based on infrared thermal imaging of the present invention mainly includes three steps: S1, preprocessing of the video stream to be detected; S2, defect reconstruction; S3, feature extraction of the reconstructed image;

[0067] Below we combine the above three steps to describe in detail.

[0068] S1. Preprocessing of the video stream to be detected

[0069] S1.1, the video stream to be detected is represented as a matrix block as: Among them, N I ×N J represents spatial information, N T Indicates time information;

[0070] S1.2. Convert the matrix block into a two-dimensional matrix Y through the vector operator Vec();

[0071] Y=[Vec(Y(1)),Vec(Y(2)),…,Vec(Y(N 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

The invention discloses an information entropy multiplicative fuzzy defect feature analysis and reconstruction method based on infrared thermal imaging. Through the reconstruction model and the optimized fuzzy algorithm, the defects of different degrees in different spaces are extracted and characterized, so that different degrees of defects in different spaces can be extracted and analyzed. Defect features can be accurately divided; at the same time, in the optimized fuzzy algorithm, a new objective function is constructed, one part includes the product of approval and hesitation, which enriches the feature information of the element, and the other part contains fuzzy entropy. The uncertainty of the information is described, which provides effective help for the distinction of defects. Such a design and structure has good stability and high efficiency, and has a prominent role in the description of the characteristic texture of defects and the characterization of characteristic color difference. It can Reasonable and accurate evaluation and analysis of defects in different spaces and degrees.

Description

technical field [0001] The invention belongs to the technical field of defect detection, and more particularly relates to an information entropy multiplicative fuzzy defect feature analysis and reconstruction method based on infrared thermal imaging. Background technique [0002] In recent years, infrared thermal imaging detection technology has developed rapidly. It does not damage the body, fast and efficient, and can effectively solve the problems of high labor intensity, long cycle, low efficiency, and poor safety in traditional non-destructive testing methods, realize large-scale rapid testing, and save a lot of manpower and material resources. [0003] If there are defects on the surface of the test piece to be tested, it will affect its heat distribution. The test piece to be tested is heated, resulting in a high temperature area and a low temperature area. Due to the difference in temperature, the heat in the high temperature area is transferred to the low temperatu...

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 Patents(China)
IPC IPC(8): G06T7/00G06T7/90
CPCG06T7/0008G06T7/90G06T2207/10016G06T2207/10048G06T2207/30164
Inventor 殷春张博程玉华黄雪刚张昊楠陈凯薛婷
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