Unlock instant, AI-driven research and patent intelligence for your innovation.

Image edge detection method based on Sobel operator

An edge detection and detection method technology, applied in the field of image processing, can solve problems such as limited edge direction, easy to lose edges, and multi-pixel width of edges, so as to improve accuracy, enhance edge detail information, and reduce false edges.

Inactive Publication Date: 2018-07-03
CHONGQING UNIV OF POSTS & TELECOMM
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the edge direction that the Sobel algorithm can detect is limited, it is only sensitive to the vertical and horizontal directions, it is easy to lose part of the edge, the anti-noise ability is low, and it is prone to the phenomenon of multi-pixel width of the edge, which brings limitations to its use.

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
  • Image edge detection method based on Sobel operator
  • Image edge detection method based on Sobel operator
  • Image edge detection method based on Sobel operator

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be described in further detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0032] Such as figure 1 As shown, it is a flow chart of the image edge detection method in this specific embodiment, comprising the following steps:

[0033] U1. Perform guided filtering processing on the original image to be processed;

[0034] U2, using the improved Sobel operator template to perform the first edge detection on the filtered image;

[0035] U3. Use the Sobel operator template to perform secondary edge detection on the first edge image;

[0036] U4. Use edge filtering to filter out edge points with small edge intensity and short edge chains on the secondary edge image.

[0037] In the U1 step, the local linear model is firstly established; secondly, the linear function coefficients are solved; finally, the final filtered output image is determined according to the linear model coefficients and the...

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 image edge detection method based on a Sobel operator. The method comprises the following steps: 1) guided filtering processing is carried out on a to-be-processed originalimage; 2) an improved Sobel operator is used to carry out edge image processing on the filtered image; 3) the Sobel operator is used again to carry out image secondary edge detection on the above edgeimage; and 4) the above image is subjected to edge filtering to filter edge points with small intensity and a short edge chain, and a final edge image is obtained. The image edge detection method adopts guided filtering, weighted mean filtering is carried out in an area with a small pixel intensity change, and in an area with a large change, filtering effects on the image are weak, and the edge is kept; and the improved Sobel operator edge detection, the secondary Sobel operator edge detection and edge filtering are used, and the image edge detection accuracy is improved.

Description

technical field [0001] The invention relates to an image edge detection method, in particular to an image edge detection method based on a Sobel operator, belonging to the technical field of image processing. Background technique [0002] Image edge is one of the most basic features of an image, because in image recognition and image analysis, edge information can well describe the contour shape of an object. Edge detection can not only extract the shape features of the object itself, but also greatly reduce the amount of data that needs to be processed in subsequent image analysis. Therefore, image edge detection is a very important technology in image processing, and it has been widely used in target recognition. , target tracking, fingerprint recognition and other fields. Therefore, image edge detection plays a very critical role in image processing. [0003] Image edge detection methods are mainly divided into three categories: the first category is classical edge extr...

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): G06T7/13G06T7/136
CPCG06T2207/10004
Inventor 罗志勇郭晓惠宦红伦罗蓉杨美美赵杰郑焕平李学勤
Owner CHONGQING UNIV OF POSTS & TELECOMM
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