Research Article
Color Image Segmentation using ERKFCM
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 41 - Issue 20 |
| Published: March 2012 |
| Authors: C. Mythili, V.Kavitha |
10.5120/5809-8074
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C. Mythili, V.Kavitha . Color Image Segmentation using ERKFCM. International Journal of Computer Applications. 41, 20 (March 2012), 21-28. DOI=10.5120/5809-8074
@article{ 10.5120/5809-8074,
author = { C. Mythili,V.Kavitha },
title = { Color Image Segmentation using ERKFCM },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 41 },
number = { 20 },
pages = { 21-28 },
doi = { 10.5120/5809-8074 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A C. Mythili
%A V.Kavitha
%T Color Image Segmentation using ERKFCM%T
%J International Journal of Computer Applications
%V 41
%N 20
%P 21-28
%R 10.5120/5809-8074
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Color image segmentation is an important task for computer vision. The segmented RGB color space is not more reliable and accurate for computer vision applications. For this purpose, the proposed approach combines different color spaces such as RGB, HSV, YIQ and XYZ for image segmentation. The combine segmentation of various color spaces to give more accurate segmentation result compared to segmentation of single color space. The images are segmented using K- means clustering and Effective robust kernelized fuzzy c-means(ERKFCM). Two significant criteria namely PSNR (Peak Signal to Noise Ratio) and MSE (Mean square error) are used to evaluate the performance.
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