000211278 001__ 211278
000211278 005__ 20190225185209.0
000211278 0247_ $$2doi$$a10.1117/12.328127
000211278 037__ $$aARTICLE
000211278 245__ $$aMulti-Scale B-Spline Snakes for General Contour Detection
000211278 269__ $$a1998
000211278 260__ $$bSPIE$$c1998
000211278 336__ $$aJournal Articles
000211278 520__ $$9eng$$a Traditional snakes suffer from slow convergence speed (many control points) and difficult to adjust weighting factors for internal energy terms. We propose an alternative formulation using cubic B-splines, where the knot spacing is variable and controlled by the user. A larger knot spacing allows us to reduce the number of parameters, which increases optimization speeds. It also eliminates the need for internal energies, which improves user interactivity. The optimization procedure is embedded into a multi-resolution image representation, where the number of snake points is adapted to the image grid spacing by correctly adjusting the spline knot spacing. Hence, the proposed method provides a multi-scale approach in both the image and parametric contour domain. Our technique provides fast optimization of the initial snake curve and leads to more stable algorithms in noisy imaging environments. Several biomedical examples of applications are included to illustrate the versatility of the method.
000211278 700__ $$aBrigger, P.
000211278 700__ $$0240182$$aUnser, M.$$g115227
000211278 773__ $$kSan Diego CA, USA$$q92–102$$tProceedings of the SPIE Conference on Mathematical Imaging: Wavelet Applications in Signal and Image Processing VI
000211278 8564_ $$uhttp://bigwww.epfl.ch/publications/brigger9802.html$$zURL
000211278 8564_ $$uhttp://bigwww.epfl.ch/publications/brigger9802.pdf$$zURL
000211278 8564_ $$uhttp://bigwww.epfl.ch/publications/brigger9802.ps$$zURL
000211278 909C0 $$0252054$$pLIB$$xU10347
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000211278 937__ $$aEPFL-ARTICLE-211278
000211278 970__ $$abrigger9802/LIB
000211278 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000211278 980__ $$aARTICLE