Hierarchy in Picture Segmentation: A Stepwise Optimization Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multiresolution Hierarchical Approach to Image Segmentation Based on Intensity Extrema
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Image Analysis Using Irregular Tessellations
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
Adaptive multiresolution structures for image processing on parallel computers
Journal of Parallel and Distributed Computing
Probabilistic Multiscale Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallel Image Component Labeling With Watershed Transformation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallel marker-based image segmentation with watershed transformation
Journal of Parallel and Distributed Computing
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Multiresolution Analysis of Ridges and Valleys in Grey-Scale Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A parallel extension for the watershed segmentation is presented in this paper. By following regional minima, i.e. the seeds around which regions are grown, in images of lower resolution, a region merging criterion in the oversegmented watershed image is retrieved. Thus, regions which have a common ascendent at a certain resolution level unify, as well as neighboring regions which annihilate until that level. Fine until coarse segmentation results are obtained efficiently in parallel on a Cray T3E parallel computer. Additionally, the technique performs quasi-automatically and allows an easy incorporation of restrictive merging criteria within the pyramidal merging structure.