Method for automatic segmentation of defective image

An automatic image segmentation and image technology, applied in image analysis, image data processing, instruments, etc., can solve the problems that there is no unified solution, restricting the development and application of disciplines, etc.

Inactive Publication Date: 2014-02-05
GUANGZHOU TEPPER INFORMATION TECH
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So far, researchers have proposed thousands of image segmentation methods, and these methods have achieved certain results in varying degrees, but most of the research results are aimed at a certain type of image or for a specific application background. And design, there is no unified solution, specific analysis of specific problems, usually need to be combined with relevant domain knowl

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
  • Method for automatic segmentation of defective image
  • Method for automatic segmentation of defective image
  • Method for automatic segmentation of defective image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] A method for automatic segmentation of defective images, comprising the following steps:

[0035] A. Use two-layer subtractive clustering to cluster image data and obtain N p Subset;

[0036] B. Centered set Arrange from large to small, and let the initial value c=2;

[0037] C. to The first c elements in the center initialize the center point set V, and use the center to v i the distance Membership matrix u ik , c cluster centers v i and the objective function J m (U, V) for clustering, where,

[0038] d il 2 ( x l , v i ) ≈ d il 2 ( x k c , v i ) = ...

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 method for automatic segmentation of a defective image. The method comprises the steps that A, image data are clustered through two-layer subtraction clustering; B, arrangement is conducted on center sets from big to small; C, a central point set V is initialized through first c elements; D, an efficiency analysis index of clustering is calculated; E, c=c+1 and an iterative computation is conducted until c>cmax; F, the value of V is determined when FXB (U,V,c) is the least value; G, U is calculated again through the value of V and image segmentation is conducted according to the formula that uik=max{u1k, u2k,...,uck} and xi belongs to the ith type. The method can overcome the shortages of the prior art, automatic segmentation in random walking mode is achieved, the image processing quality is improved, operation time is shortened, and the work efficiency is improved.

Description

technical field [0001] The present invention relates to the technical fields of graphics and image processing, pattern recognition and machine vision, in particular to an automatic segmentation method for defective images. Background technique [0002] With the wide application and rapid development of computer technology, graphics and image processing, pattern recognition and machine vision have gradually become popular research topics. So far, researchers have proposed thousands of image segmentation methods, and these methods have achieved certain results in varying degrees, but most of the research results are aimed at a certain type of image or for a specific application background. And design, there is no unified solution, specific analysis of specific problems, usually need to be combined with relevant domain knowledge to solve this type of image segmentation problem more effectively, due to the lack of a unified technical means to know how to perform appropriate segm...

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): G06T7/00
Inventor 张良均余燕团刘名军陈俊德付俊
Owner GUANGZHOU TEPPER INFORMATION TECH
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