Unsupervised 2d Multiband Histogram Clustering and Region Merging for Color Image Segmentation
نویسنده
چکیده
A segmentation method for color images is presented in this work. A morphological unsupervised 2D multiband histogram clustering provides an initial segmntation of the image. Region information is then used and a novel technique is introduced to simplify the Region Adjacency Graph by merging candidate regions until the stabilization of a ”good” segmentation criterion. Merged regions are refined by a color watershed. The whole method requires the definition of only one single parameter which acts as a multiscale parameter.
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تاریخ انتشار 2003