Unsupervised multiscale segmentation of color images
Pattern Recognition Letters
Pixel- and region-based image fusion with complex wavelets
Information Fusion
Unsupervised colour image segmentation using dual-tree complex wavelet transform
Computer Vision and Image Understanding
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In this paper, a new segmentation technique for multi-valued images is elaborated. The technique accesses multiscale edge information of a multivalued image by a concept, called multiscale fundamental form. At different scales, an edge map of the multivalued images is obtained, at which a watershed-based algorithm is applied. The multiscale behavior of the obtained watershed regions is employed to conduct a region merging procedure. In order to remove noise or local texture, prior to segmentation an anisotropic diffusion 脼lter is applied, also making use of the multiscale fundamental forms. In this way, the entire procedure is applied using multivalued processing.