DocumentCode :
1298521
Title :
Geometric active deformable models in shape modeling
Author :
Wang, Haiyan ; Ghosh, Bijoy
Author_Institution :
Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
Volume :
9
Issue :
2
fYear :
2000
fDate :
2/1/2000 12:00:00 AM
Firstpage :
302
Lastpage :
308
Abstract :
This paper analyzes the problem of shape modeling using the principle of active geometric deformable models. While the basic modeling technique already exists in the literature, we highlight many of its drawbacks and discuss their source and steps to overcome them. We propose a new stopping criterion to address the stopping problem. We also propose to apply a level set algorithm to implement the active geometric deformable models, thereby handling topology changes automatically. To alleviate the numerical problems associated with the implementation of the level set algorithm, we propose a new adaptive multigrid narrow band algorithm. All the proposed new changes have been illustrated with experiments with synthetic images and medical images
Keywords :
adaptive signal processing; computational geometry; image recognition; medical image processing; active contour; adaptive multigrid narrow band algorithm; convergence speed; experiments; geometric active deformable models; level set algorithm; medical images; numerical problems; shape modeling; shape recognition; stopping criterion; stopping problem; synthetic images; topology changes; Active contours; Active shape model; Biomedical imaging; Computer vision; Deformable models; Differential equations; Level set; Narrowband; Solid modeling; Topology;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.821748
Filename :
821748
Link To Document :
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