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