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Communication Dans Un Congrès Année : 2010

On Selecting an Optimal Number of Clusters for Color Image Segmentation

Résumé

This paper addresses the problem of region-based color image segmentation using a fuzzy clustering algorithm, e.g. a spatial version of fuzzy c-means, in order to partition the image into clusters corresponding to homogeneous regions. We propose to determine the optimal number of clusters, and so the number of regions, by using a new cluster validity index computed on fuzzy partitions. Experimental results and comparison with other existing methods show the validity and the efficiency of the proposed method.
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Dates et versions

hal-00565945 , version 1 (15-02-2011)

Identifiants

  • HAL Id : hal-00565945 , version 1

Citer

Hoel Le Capitaine, Carl Frelicot. On Selecting an Optimal Number of Clusters for Color Image Segmentation. Proceedings of the 2010 20th International Conference on Pattern Recognition, 2010, Istanbul, Turkey. pp.3388--3391. ⟨hal-00565945⟩

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