Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Color image segmentation method based on coring fuzzy Fisher criterion clustering

A color image, blurring technique, applied in the field of image processing

Inactive Publication Date: 2010-10-06
HUAIYIN INSTITUTE OF TECHNOLOGY
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0018] The above algorithms all apply Fisher's criterion to clustering, but it is only applicable to linearly separable data, and it has great limitations when it is used for color image segmentation

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
  • Color image segmentation method based on coring fuzzy Fisher criterion clustering
  • Color image segmentation method based on coring fuzzy Fisher criterion clustering
  • Color image segmentation method based on coring fuzzy Fisher criterion clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0111] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0112] as attached figure 1 Shown, the embodiment of the present invention carries out according to the following steps:

[0113] A, extract the HSV color feature of the color image to be divided and transform it into a matrix X of N × Dim, wherein N is the number of pixels in the image, and Dim is the number of color features of the pixel;

[0114] B, calculate the RBF kernel function K of the matrix X obtained in step A according to the following formula:

[0115] K(X i , X j )=exp(-γ||X i -X j || 2 ), γ>0

[0116] Among them, γ is the kernel parameter, which can be preset according to the actual situation

[0117] C. Set the number of split clusters as c, and use the k-means algorithm to initialize the membership degree u of the j sample point belonging to the i-th class for the matrix X obtained in step A ij and the N-dimensional column vec...

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 a color image segmentation method based on coring fuzzy Fisher criterion clustering. The color characteristic of a color image is mapped into a high dimensional space by using the method, clustering is realized by taking a coring fuzzy Fisher criterion as a target function in the high dimensional space, and thus image segmentation is finished. The invention solves the limitation that the traditional image segmentation method is difficult to process linear quarantine data, improves the noise robust property, obtains higher image segmentation quality, and has relatively high practical value.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a color image segmentation method, which can be applied to the segmentation of color remote sensing images, medical images and texture images. Background technique [0002] Image segmentation is the basis of image analysis and pattern recognition. It is an important issue in the field of image processing and plays a key role in many problems such as image classification, image retrieval, and image understanding. Because color images provide richer information than grayscale images, people have paid more and more attention to the research of color image segmentation methods in recent years. The color image segmentation problem can be regarded as a classification problem based on color and spatial features, which can be divided into supervised and unsupervised classification. Common supervised algorithms include maximum likelihood, decision tree, k-nearest nei...

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): G06T5/00
Inventor 曹苏群左晓明李伯奎支前锋程伟许兆美程学进
Owner HUAIYIN INSTITUTE OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com