DocumentCode :
2042377
Title :
Self-Affine Snake: A New Parametric Active Contour
Author :
Saadatmand-Tarzjan, M. ; Ghassemian, H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
fYear :
2007
fDate :
24-27 Nov. 2007
Firstpage :
492
Lastpage :
495
Abstract :
In this paper, a new active contour model called self-affine snake is proposed which integrates the self-affine mapping system (SAMS), wavelet transform, and snake model. It inherits wide capture range from the wavelet transform, both accurate fit to weak edges and effective reconstruction of boundary concavities from SAMS, and topological consistency from the snake model while avoiding their weak points. In self-affine snake, first, a force vector is computed for every pixel in each wavelet LL matrix using SAMS with disk domains. Then the obtained force fields of different wavelet scales are effectively combined to make the self-affine force filed. Finally, the snake is deformed using the resultant forces based on the snake dynamic formulation. Experiment results demonstrate good performance for self-affine snake compared to the balloon for a number of synthetic and biomedical benchmark images.
Keywords :
affine transforms; image processing; medical image processing; wavelet transforms; active contour model; biomedical benchmark images; parametric active contour; self-affine mapping system; self-affine snake; topological consistency; wavelet transform; Active contours; Biomedical signal processing; Elasticity; Fractals; Image analysis; Image reconstruction; Shape; Wavelet analysis; Wavelet domain; Wavelet transforms; Image shape analysis; wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1235-8
Electronic_ISBN :
978-1-4244-1236-5
Type :
conf
DOI :
10.1109/ICSPC.2007.4728363
Filename :
4728363
Link To Document :
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