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Reseach Article

A New Approach towards Clustering based Color Image Segmentation

by Dibya Jyoti Bora, Anil Kumar Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 12
Year of Publication: 2014
Authors: Dibya Jyoti Bora, Anil Kumar Gupta
10.5120/18803-0329

Dibya Jyoti Bora, Anil Kumar Gupta . A New Approach towards Clustering based Color Image Segmentation. International Journal of Computer Applications. 107, 12 ( December 2014), 23-30. DOI=10.5120/18803-0329

@article{ 10.5120/18803-0329,
author = { Dibya Jyoti Bora, Anil Kumar Gupta },
title = { A New Approach towards Clustering based Color Image Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 12 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number12/18803-0329/ },
doi = { 10.5120/18803-0329 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:41:46.968311+05:30
%A Dibya Jyoti Bora
%A Anil Kumar Gupta
%T A New Approach towards Clustering based Color Image Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 12
%P 23-30
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Color image segmentation is currently a very emerging topic for researchers in Image processing. Clustering is a frequently chosen methodology for this image segmentation task. But for a better segmentation, there arises the need of an optimal technique. In this paper, we propose an integrated approach for color image segmentation which is a new of its kind. Here, we integrate the famous k-means algorithm with watershed algorithm. But, here we chose 'cosine' distance measure for k-means algorithm to optimize the segmented result of the later one. Also, as color space has a leading impact on color image segmentation task, so, we chose HSV color space for our proposed approach. Since usually the noise arises during the segmentation process, so here the final segmented image is filtered by median filter to make the output image clearer and noise free. The result of the proposed approach is found to be quite satisfactory.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Color Image Segmentation HSV Color space K Means Cosine Distance Watershed Algorithm.