Edge detection method based on gray-scale image of specific class

A grayscale image and edge detection technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of lost grayscale value, slow change, difficult to eliminate the interference of local strong noise, etc., to achieve good edge detection Effects of precision and accuracy, improved adaptability, and increased grayscale difference

Inactive Publication Date: 2012-06-27
JIANGSU UNIV
View PDF3 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional canny operator is affected by various interference factors in actual processing, which will produce some false edges; at the same time, the traditional canny algorithm needs to set the high and low thresholds in the edge extraction process based on experience, and cannot The actual content

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
  • Edge detection method based on gray-scale image of specific class
  • Edge detection method based on gray-scale image of specific class
  • Edge detection method based on gray-scale image of specific class

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0020] The patent will be described in detail below in conjunction with the drawings. The specific types of gray-scale images targeted by the present invention have the following characteristics: ① gray-scale images; ② a single background, multiple targets, the background and target gray values ​​are balanced, there are three target hypotheses: one with a gray value lower than the background gray Degree value, one is close to the background gray value, and the other is higher than the background gray value; ③There is noise in the original gray image. In the embodiment, Gaussian noise and salt and pepper noise are two common noises as examples.

[0021] Based on such images, this patent proposes a new edge detection algorithm based on the traditional canny edge detection algorithm. The algorithm first uses Gaussian filtering and median filtering to remove Gaussian noise and salt and pepper noise in the image; then the filtered image is enhanced. The key is to increase the differen...

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 edge detection method based on a gray-scale image of a specific class. The method is improved on the basis of a traditional canny edge detection algorithm; therefore, sensitivity to Gaussian noise and salt and pepper noise can be effectively reduced, adaptivity to different images can be strengthened, and edge detection precision and accuracy can be improved. The method comprises the following steps that: Gaussian filtering and median filtering are employed to remove Gaussian noise and salt and pepper noise in an image; image enhancement is carried out on the filtered image; non-maxima suppression is carried out on the enhanced image as well as description and analyzing are carried out in a gradient histogram mode; adaptive setting on a high threshold value and a low threshold value of a detection and connection edge is realized; and an edge tracking algorithm is set to realize connection of edge points. According to the edge detection method provided in the invention, edge extraction under circumstances that Gaussian noise and salt and pepper noise interferences exist can be effectively improved; adaptivity to different images can be improved; and good edge detection precision and accuracy can be realized.

Description

technical field [0001] This patent relates to digital image processing technology, in particular to an edge detection method based on a specific type of grayscale image. Background technique [0002] Edge is the most basic feature of an image, and edge detection is of great significance to image analysis and understanding. Edge detection includes the following basic steps: filtering, enhancement, detection, and location. Traditional edge detection methods include Roberts operator, Sobel operator, Prewitt operator, Log operator and Canny operator, etc. With the development of mathematical theory and signal processing technology, new edge detection algorithms such as wavelet analysis-based edge detection methods, mathematical morphology-based edge detection methods, and fractal geometry-based methods have emerged in recent years. Among them, the canny edge detection algorithm based on optimization theory has the advantages of large signal-to-noise ratio and high detection ac...

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): G06T7/00G06T5/00
Inventor 顾寄南关号兵樊帆陈四杰吴倩陈艳沈巍徐军霞丁卫
Owner JIANGSU UNIV
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