DocumentCode
2895699
Title
Fuzzy External Force for Snake
Author
Arshizadeh, Rahman ; Ebadzadeh, Mohammad Mehdi
Author_Institution
Sci. & Res. Branch, Comput. Dept., Islamic Azad Univ., Tehran, Iran
fYear
2010
fDate
12-14 April 2010
Firstpage
376
Lastpage
381
Abstract
Snake, or active contours, have been used extensively in image segmentation. However, all present snake models use mathematical formula in external force and minimize it mathematically to propagate gradient vectors and extend capture range which it has some complexities. In this paper, a new type of external force for snakes named fuzzy external force (FEF) is proposed that uses fuzzy logic to diffuse gradient vectors of images. It makes edges fuzzy by using fuzzy sets in x and y directions separately. Experimental results demonstrate that the FEF snake provides segmentation as well as GVF based methods with less mathematical complexity and faster convergence.
Keywords
fuzzy set theory; gradient methods; image segmentation; active contours; fuzzy external force; fuzzy logic; fuzzy sets; gradient vectors; image segmentation; mathematical complexity; snake models; Active contours; Computer vision; Deformable models; Fuzzy logic; Fuzzy sets; Image edge detection; Image processing; Image segmentation; Information technology; Mathematical model; Boundary detection; deformable models; fuzzy active contour; gradient vector flow; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-6270-4
Type
conf
DOI
10.1109/ITNG.2010.202
Filename
5501699
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