Title
Hierarchical Segmentation Using Dynamics of Multiscale Color Gradient Watersheds
Abstract
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.
Year
Venue
Keywords
2001
Lecture Notes in Computer Science
multiscale color segmentation scheme,scale-space stack,gaussian multiscale,malik anisotropic diffusion scheme,multiscale color gradient watersheds,successive level,malik anisotropic diffusion,proposed segmentation scheme,hierarchical segmentation,multiscale hierarchical watershedsegm entation,segmentation scheme,successive scale,segmentation,watershed,image processing,scale space,color image
Field
DocType
Volume
Anisotropic diffusion,Computer science,Image processing,Scale space,Artificial intelligence,Color image,Color gradient,Discrete mathematics,Computer vision,Mathematical morphology,Segmentation,Algorithm,Gaussian
Conference
2106
ISSN
ISBN
Citations 
0302-9743
3-540-42317-6
3
PageRank 
References 
Authors
0.42
6
3
Name
Order
Citations
PageRank
Iris Vanhamel11009.96
Ioannis Pratikakis2106557.91
Hichem Sahli347565.19