Title :
A locally constrained watershed transform
Author_Institution :
Dept. of Medicine, Monash Univ., Clayton, Vic.
fDate :
7/1/2006 12:00:00 AM
Abstract :
The watershed transform, from mathematical morphology, is a powerful and flexible tool for segmentation. However, it does not allow a priori knowledge relating to characteristics of region boundaries to be included in the way that other approaches do. This paper introduces the locally constrained watershed transform, which includes border constraints by modifying the underlying path definition upon which the watershed transform depends. This approach maintains many of the desirable properties of the watershed transform, such as well-defined stopping conditions and efficient implementation, while offering more stable segmentation in the presence of noisy or incomplete boundaries
Keywords :
image segmentation; mathematical morphology; partial differential equations; border constraints; mathematical morphology; segmentation; watershed transform; Active contours; Costs; Image color analysis; Image edge detection; Image segmentation; Image texture analysis; Morphology; Shape; Viscosity; Minkowski cost; Segmentation; constrained region growing; constrained watershed transform; covered cost; seeded region growing.; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Pattern Recognition, Automated;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2006.132