DocumentCode :
350258
Title :
Loop-free snakes for image segmentation
Author :
Ji, Lilian ; Yan, Hong
Author_Institution :
The University of Sydney
Volume :
3
fYear :
1999
fDate :
24-28 Oct. 1999
Firstpage :
193
Lastpage :
196
Abstract :
Snakes are an effective approach to image segmentation. However, self-looping is a very common problem that makes snakes fail to work well in certain circumstances. In order to achieve robust segmentation, this paper introduces the loop-free snakes based on an attractable active contour model that overcomes several problems of conventional snake model whale retaining all properties associated with it. The proposed method can quickly and eficiently remove all loops during the evolution of snake deformation and can be less sensitive to its parameter setting and flow into more complicated contours such as long tube shapes, sharp corners, deep concave/convex shapes. Hence the new method extends the topologic flexibility and adaptability of snakes. Experiments have been conducted to segment real images with encouraging results.
Keywords :
Active contours; Australia; Deformable models; Grid computing; Image converters; Image segmentation; Image storage; Shape; Sorting; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
Type :
conf
DOI :
10.1109/ICIP.1999.817098
Filename :
817098
Link To Document :
بازگشت