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