Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image selective smoothing and edge detection by nonlinear diffusion
SIAM Journal on Numerical Analysis
Geodesic Saliency of Watershed Contours and Hierarchical Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color segmentation algorithm using an HLS transformation
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
Fast Segmentation Methods Based on Partial Differential Equations and the Watershed Transformation
Mustererkennung 1998, 20. DAGM-Symposium
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
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In this paper, we describe and compare two multiscale color segmentation schemes basedon the Gaussian multiscale and the Perona and Malik anisotropic diffusion. 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 watershedre gions 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 andt he Perona and Malik anisotropic diffusion scheme. Our experimental results consist of the comparison of both schemes with respect to the following aspects: size and in formation reduction between successive levels of the hierarchical stack, dynamics of contours in scale space and computation time.