A Comparison of some Clustering Techniques via Color Segmentation

Authors:
Shilpa Agarwal;Shweta Madasu;Madasu Hanmandlu;Shantaram Vasikarla
Affiliations:
I.I.T. Delhi, Hauz Khas, India;Infosys Technologies Ltd., India;I.I.T. Delhi, India;InterContinental University, Los Angele, CA
Venue:
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
Year:
2005

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Color image segmentation using morphological clustering and fusion with automatic scale selection

Pattern Recognition Letters

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Abstract

This paper proposes a new improved modified mountain clustering technique. The proposed technique is being compared with some existing techniques such as FCM, Gath-Geva, Probabilistic Clustering and Modified Mountain clustering. The performance of all these clustering techniques is compared by applying them to color segmentation in terms of cluster validity and computational complexity.