Title :
Snakes on the watershed
Author :
Park, Jaesang ; Keller, James M.
Author_Institution :
Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., Columbia, MO, USA
fDate :
10/1/2001 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
