Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 6th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
A massively parallel implementation of the watershed based on cellular automata
ASAP '97 Proceedings of the IEEE International Conference on Application-Specific Systems, Architectures and Processors
A robust fully automatic scheme for general image segmentation
Digital Signal Processing
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An important aspect of designing a parallel algorithm is exploitation of the data locality for minimization of the communication overhead. We propose a reformulation of a global image operation called the watershed transformation. The method is one of the various approaches for image segmentation and works by labeling connected components. Both serial and parallel programming models are presented and evaluated when running on SUN and DEC Alpha AXP workstations, and a Cray T3D, respectively.