A shakable snake for estimation of image contours

  • Yoon, JS; 
  • Park, JC; 
  • Jang, SW; 
  • Kim, GY
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2
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SCOPUS

3

초록

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.

제목
A shakable snake for estimation of image contours
저자
Yoon, JS; Park, JC; Jang, SW; Kim, GY
발행일
2004
유형
Article; Proceedings Paper
저널명
Lecture Notes in Computer Science
권
3043
페이지
9 ~ 16