Scale Space Segmentation of Color Images
نویسندگان
چکیده
A multiresolution segmentation approach for color images is presented. The scale space is generated using the Perona-Malik diffusion approach and the watershed algorithm is employed to produce the regions in each scale. The dynamics of contours and the relative entropy of color regions distribution are estimated as region dissimilarity features, and combined using a fuzzy rule based system. A minima linking process by downward projection is carried out and the region dissimilarity, combining scale, contrast and homogeneity is subsequently estimated for the finer scale (localization scale). The final segmentation is derived from a previously presented merging process. To validate its performance qualitative and quantitative results are provided. In addition, a basic study on scale selection techniques is carried out. Several scale selection approaches were evaluated and compared and a novel scale criterion based on function approximation is eventually proposed.
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