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Dynamic Image Segmentation using Fuzzy C-Means based Genetic Algorithm

by Amiya Halder, Soumajit Pramanik, Arindam Kar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 6
Year of Publication: 2011
Authors: Amiya Halder, Soumajit Pramanik, Arindam Kar
10.5120/3392-4714

Amiya Halder, Soumajit Pramanik, Arindam Kar . Dynamic Image Segmentation using Fuzzy C-Means based Genetic Algorithm. International Journal of Computer Applications. 28, 6 ( August 2011), 15-20. DOI=10.5120/3392-4714

@article{ 10.5120/3392-4714,
author = { Amiya Halder, Soumajit Pramanik, Arindam Kar },
title = { Dynamic Image Segmentation using Fuzzy C-Means based Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 6 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number6/3392-4714/ },
doi = { 10.5120/3392-4714 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:02.956017+05:30
%A Amiya Halder
%A Soumajit Pramanik
%A Arindam Kar
%T Dynamic Image Segmentation using Fuzzy C-Means based Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 6
%P 15-20
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes an evolutionary approach for unsupervised gray-scale image segmentation that segments an image into its constituent parts automatically. The aim of this algorithm is to produce precise segmentation of images using intensity information along with neighborhood relationships. In this paper, fuzzy c-means clustering helps in generating the population of Genetic algorithm which there by automatically segments the image. This technique is a powerful method for image segmentation and works for both single and multiple-feature data with spatial information. Validity index has been utilized for introducing a robust technique for finding the number of components in an image. Experimental results shown that the algorithm generates good quality segmented image.

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Index Terms

Computer Science
Information Sciences

Keywords

Clustering Image Segmentation Fuzzy C-means Genetic Algorithm

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