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Reseach Article

Performance Evaluation of ACO based Metaheuristic Technique for Color Image Segmentation

by Baljot Kaur, P. S. Mann
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 160 - Number 4
Year of Publication: 2017
Authors: Baljot Kaur, P. S. Mann

Baljot Kaur, P. S. Mann . Performance Evaluation of ACO based Metaheuristic Technique for Color Image Segmentation. International Journal of Computer Applications. 160, 4 ( Feb 2017), 31-35. DOI=10.5120/ijca2017913043

@article{ 10.5120/ijca2017913043,
author = { Baljot Kaur, P. S. Mann },
title = { Performance Evaluation of ACO based Metaheuristic Technique for Color Image Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 160 },
number = { 4 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017913043 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:05:47.026038+05:30
%A Baljot Kaur
%A P. S. Mann
%T Performance Evaluation of ACO based Metaheuristic Technique for Color Image Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 160
%N 4
%P 31-35
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

The aim of image segmentation is to make simpler presentation of an image into incredible which is meaningful as well as easy to understand. It is mainly utilized to know the location of objects, boundaries, lines etc in the digital images. Clustering technique is a method which shows the data set or pixels are replaced by cluster, pixels might be together because of the same color, texture etc. This paper represents the implementation of an ACO based metaheuristic for color image segmentation to differentiate the mixed regions.

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Index Terms

Computer Science
Information Sciences


Image Processing Image Segmentation Techniques FELICM Ant Colony Optimization.