DocumentCode
3103527
Title
A Snake Model Based on Improved Internal Energy
Author
Hui, Zhang ; Yuening, Wu ; Huaiping, Yan
Author_Institution
Coll. of Math. & Inf. Sci., Xianyang Normal Univ., Xianyang, China
fYear
2010
fDate
26-28 Sept. 2010
Firstpage
263
Lastpage
266
Abstract
Through traditional Snake model, contour points could not be converged accurately towards object boundary of deeply concave region and complex region. Aiming at this shortcoming, this paper improved internal energy from two aspects: convergent force from contour points to their center and area surrounded by contour points. And the paper used greedy algorithm of alternation of improved Snake model and traditional Snake model. Results show that initial contour points are converged object boundary accurately and quickly in segmentation of complex image, without disturbance of noise, and adjustment of parameters is easy.
Keywords
edge detection; feature extraction; image segmentation; Snake model; concave region; contour point; convergent force; greedy algorithm; image segmentation; internal energy; Analytical models; Biological system modeling; Computational modeling; Force; Greedy algorithms; Heuristic algorithms; Image segmentation; Snake model; alternate greedy algorithm; greedy algorithm; internal energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-8785-1
Type
conf
DOI
10.1109/CASoN.2010.67
Filename
5636699
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