Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Watersnakes: Energy-Driven Watershed Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
The Watershed Transform: Definitions, Algorithms and Parallelization Strategies
Fundamenta Informaticae
Computer Methods and Programs in Biomedicine
The Application of Watersnakes Algorithm in Segmentation of the Hippocampus from Brain MR Image
Medical Imaging and Informatics
Knowledge from markers in watershed segmentation
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts
Image and Vision Computing
Cytology imaging segmentation using the locally constrained watershed transform
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Detection of protein conformation defects from fluorescence microscopy images
Engineering Applications of Artificial Intelligence
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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.