Watershed-based multiscale segmentation method for color images using automated scale selection
S Makrogiannis, I Vanhamel… - Journal of …, 2005 - spiedigitallibrary.org
An automated multiscale segmentation approach for color images is presented. The scale-
space stack is generated using the Perona-Malik diffusion approach and the watershed
algorithm is employed to produce the regions at each scale. A minima-linking process by
downward projection is carried out over the successive scales, and a region dissimilarity
measure—combining scale, contrast, and homogeneity—is subsequently estimated on the
finer scale (localization scale). The dissimilarity measure is estimated as a function of two …
space stack is generated using the Perona-Malik diffusion approach and the watershed
algorithm is employed to produce the regions at each scale. A minima-linking process by
downward projection is carried out over the successive scales, and a region dissimilarity
measure—combining scale, contrast, and homogeneity—is subsequently estimated on the
finer scale (localization scale). The dissimilarity measure is estimated as a function of two …
A watershed-based multiscale segmentation method for color images using automatic scale selection
S Makrogiannis, I Vanhamel… - Journal of …, 2005 - researchportal.vub.be
An automated multiscale segmentation approach for color images is presented. The scale-
space stack is generated using the Perona-Malik diffusion approach and the watershed
algorithm is employed to produce the regions at each scale. A minima-linking process by
downward projection is carried out over the successive scales, and a region dissimilarity
measure--combining scale, contrast, and homogeneity--is subsequently estimated on the
finer scale (localization scale). The dissimilarity measure is estimated as a function of two …
space stack is generated using the Perona-Malik diffusion approach and the watershed
algorithm is employed to produce the regions at each scale. A minima-linking process by
downward projection is carried out over the successive scales, and a region dissimilarity
measure--combining scale, contrast, and homogeneity--is subsequently estimated on the
finer scale (localization scale). The dissimilarity measure is estimated as a function of two …
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