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
Link To Document :
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