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An image segmentation algorithm based on histogram clustering and probabilistic relaxation labeling is explored. The algorithm is evaluated by means of a set of artificially generated test images with known parameters. Two sources of pixel labeling errors are revealed. The first derives from distribution overlap in the histogram and leads to fragmented or missing regions in a segmentation. The second...