SIA OpenIR  > 光电信息技术研究室
Alternative TitleImproved multi-threshold image segmentation algorithm based on potential function clustering
张志佳; 黄莎白; 史泽林
Source Publication光电工程
Indexed ByEI ; CSCD
EI Accession number2005419405999
Contribution Rank1
Funding Organization中国科学院科技创新基金资助项目(A010416)
Keyword图像分割 势函数 多阈值 鲁棒性
Other AbstractAiming at the disadvantage of multi-threshold image segmentation algorithm based on potential function clustering, a concept of false potential is defined and an improved image segmentation algorithm is proposed on the basis of an original algorithm. According to this method, when the distance between the adjacent peaks is less than the adaptive fuzzy false potential factor, the false potential mergence should be implemented. The improved algorithm will judge if there are false potentials when calculating the residual potential function and if false potentials exist, implement false potential mergence in the process of dividing the potential function groups. The segmentation experiment for several images shows that the improved algorithm possesses better segmentation and more robust performance than the original algorithm.
Citation statistics
Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author张志佳
Recommended Citation
GB/T 7714
张志佳,黄莎白,史泽林. 一种改进的势函数聚类多阈值图像分割算法[J]. 光电工程,2005,32(8):64-68.
APA 张志佳,黄莎白,&史泽林.(2005).一种改进的势函数聚类多阈值图像分割算法.光电工程,32(8),64-68.
MLA 张志佳,et al."一种改进的势函数聚类多阈值图像分割算法".光电工程 32.8(2005):64-68.
Files in This Item:
File Name/Size DocType Version Access License
GDGC200508016.pdf(292KB) 开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[张志佳]'s Articles
[黄莎白]'s Articles
[史泽林]'s Articles
Baidu academic
Similar articles in Baidu academic
[张志佳]'s Articles
[黄莎白]'s Articles
[史泽林]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[张志佳]'s Articles
[黄莎白]'s Articles
[史泽林]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: GDGC200508016.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.