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Reseach Article

Medical Image Segmentation based on PSO-PFC

by Gundeep Bajwa, Harwant Singh Gill
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 10
Year of Publication: 2015
Authors: Gundeep Bajwa, Harwant Singh Gill
10.5120/ijca2015906210

Gundeep Bajwa, Harwant Singh Gill . Medical Image Segmentation based on PSO-PFC. International Journal of Computer Applications. 126, 10 ( September 2015), 33-37. DOI=10.5120/ijca2015906210

@article{ 10.5120/ijca2015906210,
author = { Gundeep Bajwa, Harwant Singh Gill },
title = { Medical Image Segmentation based on PSO-PFC },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 10 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number10/22591-2015906210/ },
doi = { 10.5120/ijca2015906210 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:17:07.538340+05:30
%A Gundeep Bajwa
%A Harwant Singh Gill
%T Medical Image Segmentation based on PSO-PFC
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 10
%P 33-37
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The increasing influence of segmentation in medical image processing requires great need to develop robust image segmentation method to eliminate the problem of traditional methods. Fuzzy c-means (FCM) is an effective fuzzy clustering technique for medical image segmentation but FCM is noise-sensitive and time consuming with large set of medical images. A penalized fuzzy clustering (PFC) is implemented for eliminating noise sensitivity of FCM. This paper presents the hybrid approach that employs Particle swarm optimization (PSO) to optimize the results of PFC for medical images segmentation.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Medical image segmentation fuzzy c-means (FCM) penalized fuzzy clustering (PFC) particle swarm optimization (PSO).