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Hierarchical Segmentation using Dynamics of Multiscale Host Publication: Scale-space and Morphology in Computer Vision Authors: I. Vanhamel, I. Pratikakis and H. Sahli Publisher: Springer Verlag Publication Year: 2001 Number of Pages: 8 ISBN: 3-540-42317-6
Abstract: In this paper, we describe and compare two multiscale color segmentation schemes basedon the Gaussian multiscale and the Perona and Malik anisotropic difusion. The proposed segmentation schemes consist of an extension to color images of an earlier multiscale hierarchical watershedsegm entation for scalar images. Our segmentation scheme constructs a hierarchy among the watershed regions using the principle of dynamics of contours in scale-space. Each contour is valuated by combining the dynamics of contours over the successive scales. We conduct experiments on the scale-space stacks created by the Gaussian scale-space and the Perona and Malik anisotropic difusion scheme. Our experimental results consist of the comparison of both schemes with respect to the following aspects: size andin formation reduction between successive levels of the hierarchical stack, dynamics of contours in scale space and computation time. External Link.
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