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
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