Color space selection for unsupervised color image segmentation by analysis of connectedness properties

نویسنده

  • L. Busin
چکیده

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 pixels belonging to the modes of the 1D-histograms present remarkable connectedness properties, so that each mode corresponds effectively to a region in the image.

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تاریخ انتشار 2004