DocumentCode :
2045579
Title :
Initial contour independent level set image segmentation method using synergetic vector flow fields
Author :
Chunhapongpipat, K. ; Boonklurb, R. ; Sirisup, Sirod ; Lipikorn, Rajalida
Author_Institution :
Dept. of Math. & Comput. Sci., Chulalongkorn Univ., Bangkok, Thailand
fYear :
2012
fDate :
12-14 Dec. 2012
Firstpage :
1
Lastpage :
7
Abstract :
The incorrect shape and location of initial contour in the level set image segmentation method could lead to unreliable results but the proper initial contour is hard to design in some images. This paper proposes a method that is more independent using four vector flows instead of using edge detector to insert new contour. The geodesic active contour (GAC) is used to compared with the proposed method on several types of gray-scale images. The experimental results show that the proposed method is more independent from shape and location of initial contour and can cover more details comparing with GAC.
Keywords :
edge detection; image segmentation; GAC; edge detector; geodesic active contour; gray-scale images; initial contour independent level set image segmentation method; synergetic vector flow fields; Edge detection; Level Set (LS) method; Partial Differential Equations (PDEs); image segmentation; multi-scale gradient vector flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communication Systems (ICSPCS), 2012 6th International Conference on
Conference_Location :
Gold Coast, QLD
Print_ISBN :
978-1-4673-2392-5
Electronic_ISBN :
978-1-4673-2391-8
Type :
conf
DOI :
10.1109/ICSPCS.2012.6507987
Filename :
6507987
Link To Document :
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