Clustering techniques in colour image segmentation
نویسنده
چکیده
In this paper, five clustering techniques (k-means, ISODATA, merging, splitting and mean shift techniques) used for colour image segmentation are presented. Two heuristic evaluation methods (cluster validity measure VM and quality function Q) are applied. We show that evaluation functions VM and Q can be very helpful in search of best segmentation results. The best results came from k-means, mean-shift and clustering by splitting techniques. We observed that the postprocessing stage improves the final segmentation results.
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