Paper Info
Title
Shape Gradient For Multi-Modal Image Segmentation Using Mutual Information
Abstract
This paper deals with video and image segmentation using region based active contours. We propose to search for an optimal domain with regards to a criterion based on information measures such as entropy of mutual information. We use a general derivation framework based on the notion of shape gradient. This general derivation is applied to criteria based on information theory, Such as mutual information for the segmentation of sequences of images. Finally, we present experimental results on color video sequences showing the efficiency of the proposed method for face segmentation.
Year
Venue
Keywords
2004
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5
active contour,information theory,mutual information,image segmentation
Field
DocType
ISSN
Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Image texture,Range segmentation,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Region growing,Mutual information,Morphological gradient
Conference
1522-4880
Citations 
PageRank 
References 
2
0.54
0
Authors
4
Name
Order
Citations
PageRank
Ariane Herbulot1497.28
Stéphanie Jehan-Besson227718.54
Michel Barlaud32317310.53
Gilles Aubert41275108.17