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PSO-Based Tsallis Thresholding Selection Procedure for Image Segmentation

by R. Kayalvizhi, P.D. Sathya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 4
Year of Publication: 2010
Authors: R. Kayalvizhi, P.D. Sathya
10.5120/903-1279

R. Kayalvizhi, P.D. Sathya . PSO-Based Tsallis Thresholding Selection Procedure for Image Segmentation. International Journal of Computer Applications. 5, 4 ( August 2010), 39-46. DOI=10.5120/903-1279

@article{ 10.5120/903-1279,
author = { R. Kayalvizhi, P.D. Sathya },
title = { PSO-Based Tsallis Thresholding Selection Procedure for Image Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { August 2010 },
volume = { 5 },
number = { 4 },
month = { August },
year = { 2010 },
issn = { 0975-8887 },
pages = { 39-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume5/number4/903-1279/ },
doi = { 10.5120/903-1279 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:53:24.604857+05:30
%A R. Kayalvizhi
%A P.D. Sathya
%T PSO-Based Tsallis Thresholding Selection Procedure for Image Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 5
%N 4
%P 39-46
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multilevel thresholding is a method that is widely used in image segmentation. The thresholding problem is treated as an optimization problem with an objective function. In this article, a simple and histogram based approach is presented for multilevel thresholding in image segmentation. The proposed method combines Tsallis objective function and Particle Swarm Optimization (PSO). The PSO algorithm is used to find the optimal threshold values which maximize the Tsallis objective function. Simulations are performed over various standard test images with different number of thresholds and comparisons are performed with Genetic Algorithm (GA). The experimental results show that the proposed PSO based thresholding method performs better than the GA method.

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Index Terms

Computer Science
Information Sciences

Keywords

Image thresholding Tsallis objective function particle swarm optimization

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