Color space selection for unsupervised color image segmentation by histogram multithresholding (MA-P1)

Author(s) : Laurent Busin (Laboratoire LAGIS, France) Nicolas Vandenbroucke (Laboratoire LAGIS, France) Ludovic Macaire (Laboratoire LAGIS, France) Jack-Gerard Postaire (Laboratoire LAGIS, France)

Abstract : In this paper, we propose a new color image segmentation algorithm by unsupervised classification of pixels. This procedure iteratively constructs the classes by histogram multithresholding. For this purpose, the procedure selects different color spaces in which the peaks of the 1D-histograms are as well as possible separated, so that the peaks correspond effectively to the regions in the image.

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