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A shakable snake for estimation of image contours
- Yoon, JS;
- Park, JC;
- Jang, SW;
- Kim, GY
Citations
WEB OF SCIENCE
2Citations
SCOPUS
3초록
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
- 권
- 3043
- 페이지
- 9 ~ 16
- 출판사
- SPRINGER-VERLAG BERLIN
- 분량
- 8 페이지
- ISSN
- P 0302-9743