Snakes on the watershed

Author

Park, Jaesang ; Keller, James M.

Author_Institution

Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., Columbia, MO, USA

Volume

23

Issue

10

fYear

2001

fDate

10/1/2001 12:00:00 AM

Firstpage

1201

Lastpage

1205

Abstract

We present a new approach for object boundary extraction, called the watersnake. It is a two-step snake algorithm whose energy functional is minimized by the dynamic programming method. It is more robust to local minima because it finds the solution by searching the entire energy space. To reduce the complexity of the minimization process, the watershed transformation and a coarse-to-fine strategy are used. The new technique is compared to standard methods for accuracy in synthetic data and is applied to segmentation of white blood cells in bone marrow images

Keywords

dynamic programming; edge detection; image segmentation; medical image processing; object recognition; transforms; active contour model; bone marrow images; dynamic programming; energy space search; image segmentation; object boundary extraction; snake algorithm; watershed transformation; watersnake; white blood cell detection; Active contours; Bones; Dynamic programming; Greedy algorithms; Image edge detection; Image segmentation; Iterative algorithms; Minimization methods; Robustness; White blood cells;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.954609

Filename

954609