Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topographic distance and watershed lines
Signal Processing - Special issue on mathematical morphology and its applications to signal processing
The watershed transform: definitions, algorithms and parallelization strategies
Fundamenta Informaticae - Special issue on mathematical morphology
Watersnakes: Energy-Driven Watershed Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Locally Constrained Watershed Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The application of watersnakes algorithm in segmentation of hippocampus MR image has been investigated.This algorithm integrates the watershed transform and the active contour algorithm. The watershed transform, based on mathematical morphology, is powerful and flexible for segmentation. However, it does not allow the characteristics of region boundaries to be included in the way that active contour algorithm does. So, over-segmentation is shown in the result of watershed transform, this phenomenon is even worse for the segmentation of hippocampus. For watersnakes algorithm, the primitive contour of hippocampus can be obtained using watershed transform. Based on energy-driven, the contour of hippocampus can develop into the ultimate result. In the process of energy-driven, the information relating to characteristics of region boundaries is involved.