Possiblistic-Fuzzy C-Means Clustering Approach for the Segmentation of Satellite Images in HSL Color Space-Reference-Cited by-同舟云学术

Possiblistic-Fuzzy C-Means Clustering Approach for the Segmentation of Satellite Images in HSL Color Space

Published:2015 Issue: Volume:57 Page:49-56
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Kalist V.,Ganesan P.,Sathish B.S.,Jenitha J. Merlin Mary,Basha.shaik Khamar

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

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3. R. Krishnapuram and J. Keller, “The possibilistic c means algorithm : Insights and recommendations”,IEEE Trans. Fuzzy Syst., vol. 1, no. 2, pp. 98-110, Apr. 1993pp. 385-393, Jun. 1996.

4. Correa et. al, “A Comparison of fuzzy clustering algorithms applied to feature extraction on vineyard”, Lecture Notes in Computer Science;Christian;Springer,2012

5. Ganesan, P., and V.Rajini. “Image Quality Parameters for the Analysis of Segmentation of Satellite Images in Two Different Color Spaces”, Indian Stream Research Journal, Vol III, Issue IX, October 2013.

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