Electrical equipment infrared image feature vector extraction method

A technology of infrared images and feature vectors, applied in the field of image recognition, can solve problems such as lack of applications

Active Publication Date: 2019-06-07
GUANGDONG POWER GRID CO LTD +1
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among the feature vector extraction methods, the wavelet packet analysis method has been widely used in signal feature extraction due to its good local time-frequency characteristics, but its application in infrared image feature extraction of electrical equipment is still relatively lacking.

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
  • Electrical equipment infrared image feature vector extraction method
  • Electrical equipment infrared image feature vector extraction method
  • Electrical equipment infrared image feature vector extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The accompanying drawings are for illustrative purposes only, and should not be construed as limitations on this patent; in order to better illustrate this embodiment, certain components in the accompanying drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product; for those skilled in the art It is understandable that some well-known structures and descriptions thereof may be omitted in the drawings. The positional relationship described in the drawings is for illustrative purposes only, and should not be construed as a limitation on this patent.

[0020] Such as figure 1 As shown, a method for extracting feature vectors of infrared images of electrical equipment, including the following steps:

[0021] S1. Input the infrared image of the electrical equipment;

[0022] S2. Carry out two-dimensional wavelet packet decomposition on the infrared image to obtain wavelet packet coefficients on each sub-frequency band; specifically,...

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 provides an electrical equipment infrared image feature vector extraction method. The electrical equipment infrared image feature vector extraction method comprises the following steps:S1, inputting an electrical equipment infrared image; S2, performing two-dimensional wavelet packet decomposition on the infrared image to obtain a wavelet packet coefficient on each sub-band; and S3,calculating related parameters by using the wavelet packet coefficient obtained in the step S2, and forming an infrared image feature vector. The method provided by the invention is based on the advantages of wavelet packet analysis, so that the extracted feature vector can better represent the infrared image of the electrical equipment.

Description

technical field [0001] The invention relates to the technical field of image recognition, and more specifically, to a method for extracting feature vectors of infrared images of electrical equipment. Background technique [0002] Infrared thermal imaging can realize non-contact measurement, and has the characteristics of not being easily disturbed by electromagnetic interference, accurate and safe, and has been widely used in electrical equipment status detection and fault diagnosis. Since different parts of electrical equipment have different fever types and diagnostic standards, it is necessary to identify infrared images to overcome the current low-efficiency manual analysis and diagnosis methods. [0003] When identifying infrared images of electrical equipment, feature vector extraction is the first step. Among the feature vector extraction methods, the wavelet packet analysis method has been widely used in signal feature extraction due to its good local time-frequency...

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): G06K9/46G06K9/00
Inventor 吴炬卓
Owner GUANGDONG POWER GRID CO 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