A Shakable Snake for Estimation of Image Contours
Active contour models are powerful tool for object contour extraction. This paper addresses some problems of conventional snake models, and proposes a shakable snake based on a greedy snake. By using a method of shaking a snake, the proposed snake algorithm can attracts the snake to the image contours rapidly and accurately. We show that good results can be obtained by shaking a snake.
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