Supercharge Your Innovation With Domain-Expert AI Agents!

Infrared image edge detection method based on Retinex-watershed-Canny operator

An edge detection and infrared image technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problem of not formulating segmentation algorithm, etc., and achieve the effect of easy feature extraction and protection, reducing influence and improving effect

Active Publication Date: 2017-01-04
HEILONGJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, there is no standard for selecting suitable segmentation algorithms, which brings many practical problems to the application of image segmentation technology.

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
  • Infrared image edge detection method based on Retinex-watershed-Canny operator
  • Infrared image edge detection method based on Retinex-watershed-Canny operator
  • Infrared image edge detection method based on Retinex-watershed-Canny operator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings, but it is not limited thereto. Any modification or equivalent replacement of the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention should be covered by the present invention. within the scope of protection.

[0023] The specific implementation steps of the infrared image edge detection method based on Retinex-watershed-Canny operator provided by the present invention are as follows:

[0024] 1. Infrared image enhancement based on Retinex algorithm

[0025] (1) Retinex theory

[0026] ① Use the logarithmic method to separate the illumination light component and the reflected light component of the original image, namely:

[0027] S(x,y)=r(x,y)+l(x,y)=log(R(x,y))+log(L(x,y)) (1);

[0028] In the formula, S(x, y) represents the image received by the infrared...

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 infrared image edge detection method based on a Retinex-watershed-Canny operator. The method comprises the steps of (1) carrying out gray-scale transformation on an original image, and carrying out Retinex algorithm processing on the transformed image, (2) carrying out Top-Hat and Bottom-Hat transformation on the image which is subjected to the Retinex processing, (3) carrying out valley point detection on the image which is subjected to Top-Hat and Bottom-Hat transformation, (4) carrying out watershed transformation on the image which is subjected to valley point detection, (5) carrying out gray value opening operation on the image which is subjected to the watershed transformation, and (6) using the Canny operator to carry out defect edge detection on the image which is processed by the Canny operator. The defect boundary contour of the image which is subjected to the hybrid algorithm processing of the Retinex-watershed-Canny operator is clear, the continuity is good, a large number of useless false boundary information is reduced, the influence of defect edge identification by noise is reduced, and the effect of the geometric feature extraction of the effect is improved.

Description

technical field [0001] The invention belongs to the technical field of infrared image processing, and relates to an infrared image edge detection method based on a Retinex-watershed-Canny operator, which is mainly used for image segmentation processing in infrared image processing. Background technique [0002] Infrared thermal wave detection technology is a new type of non-destructive testing technology that has developed rapidly and been widely used in the past two decades. It actively heats the test piece through an external thermal excitation source, so that the internal defects of the test piece (such as cracks, corrosion, debonding, etc.) are displayed in the form of abnormal distribution of surface temperature field. During the acquisition process of thermal wave images, due to the adverse effects of factors such as uneven heating, infrared radiation of the environment and the equipment itself, and uneven surface and internal structure of the test piece, the informati...

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): G06T7/00
CPCG06T2207/10048G06T2207/20152
Inventor 唐庆菊刘元林梅晨卜迟武
Owner HEILONGJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com