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Enhanced Color Image Segmentation of Foreground Region using Particle Swarm Optimization

by Manas Yetirajam, Pradeep Kumar Jena
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 8
Year of Publication: 2012
Authors: Manas Yetirajam, Pradeep Kumar Jena
10.5120/9134-3322

Manas Yetirajam, Pradeep Kumar Jena . Enhanced Color Image Segmentation of Foreground Region using Particle Swarm Optimization. International Journal of Computer Applications. 57, 8 ( November 2012), 18-23. DOI=10.5120/9134-3322

@article{ 10.5120/9134-3322,
author = { Manas Yetirajam, Pradeep Kumar Jena },
title = { Enhanced Color Image Segmentation of Foreground Region using Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 8 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number8/9134-3322/ },
doi = { 10.5120/9134-3322 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:54.246874+05:30
%A Manas Yetirajam
%A Pradeep Kumar Jena
%T Enhanced Color Image Segmentation of Foreground Region using Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 8
%P 18-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a new segmentation approach which aims to segment only the foreground of an image after background elimination. Background elimination is treated as an optimization problem and is solved by using principle of PSO. The proposed algorithm is a thresholding method used to eliminate background from an image assuming that the image to be threshold contains two classes of pixels or bi-modal histogram(foreground and background). This gives a low level binary representation to the image eliminating the background and highlighting the foreground part. Based on the distance and similarity among the connected components in the binary image, it is segmented and a different similar color is assigned to each of the segment to preserve the color information contained in the real color image.

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Index Terms

Computer Science
Information Sciences

Keywords

Thresholding Background Elimination Segmentation Feature Extraction Particle Swarm Optimization

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