An adaptive clustering and chrominance-based merging approach for image segmentation and abstraction


We present a novel, computationally efficient approach for natural image segmentation that uses the adaptive clustering algorithm (ACA) to obtain an initial segmentation and chrominance-based region merging to consolidate regions of perceptually uniform texture. The combination of ACA and chrominance-based merging preserves salient edges and smooths out… (More)
DOI: 10.1109/ICIP.2010.5651905


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