DocumentCode :
384378
Title :
Variable neighborhood search for geometrically deformable templates
Author :
Lalonde, Marc ; Gagnon, Langis
Author_Institution :
Vision & Imaging Team, CRIM, Montreal, Que., Canada
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
689
Abstract :
This paper proposes two modifications to the geometrically deformable template model. First, the optimization stage originally based on simulated annealing is replaced with a meta-heuristic called Variable Neighborhood Search that treats simulated annealing as a local search tool. Second, an affine deformation energy is introduced to improve the quality of the search. An example of optic disc segmentation in an ophthalmic image is given.
Keywords :
genetic algorithms; image segmentation; search problems; affine deformation energy; geometrically deformable templates; local search tool; meta-heuristic; ophthalmic image; optic disc segmentation; search quality; simulated annealing; variable neighborhood search; Biomedical imaging; Biomedical optical imaging; Deformable models; Nonlinear optics; Optical imaging; Research and development; Shape; Simulated annealing; Solid modeling; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048395
Filename :
1048395
Link To Document :
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