DocumentCode
3318952
Title
A snake for model-based segmentation
Author
Radeva, Petia ; Serrat, Joan ; Marti, Enric
Author_Institution
Comput. Vision Group, Autonomous Univ. of Barcelona, Spain
fYear
1995
fDate
20-23 Jun 1995
Firstpage
816
Lastpage
821
Abstract
Despite the promising results of numerous applications, the hitherto proposed snake techniques share some common problems: snake attraction by spurious edge points, snake degeneration (shrinking and flattening), convergence and stability of the deformation process, snake initialization and local determination of the parameters of elasticity. We argue here that these problems can be solved only when all the snake aspects are considered. The snakes proposed here implement a new potential field and external force in order to provide a deformation convergence, attraction by both near and far edges as well as snake behaviour selective according to the edge orientation. Furthermore, we conclude that in the case of model-based segmentation, the internal force should include structural information about the expected snake shape. Experiments using this kind of snakes for segmenting bones in complex hand radiographs show a significant improvement
Keywords
image segmentation; convergence; deformation process; edge orientation; elasticity; local determination; model-based segmentation; snake degeneration; snake initialization; snake techniques; spurious edge points; stability; Bones; Computer science; Computer vision; Convergence; Elasticity; Image resolution; Image segmentation; Noise shaping; Shape; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location
Cambridge, MA
Print_ISBN
0-8186-7042-8
Type
conf
DOI
10.1109/ICCV.1995.466854
Filename
466854
Link To Document