Abstract
In this paper we present a parallel implementation of an image segmentation transform - the watershed algorithm. The algorithm is implemented using the message passing paradigm, with both PVM and MPI and is adapted to a specific application of determining the volume of liquor from CT-scans. Our watershed algorithm is applied on 2D images from cranial CT-scans to extract the liquor parts from them. The evaluation on a distributed memory system is included.
Cite
CITATION STYLE
Nicolescu, C., Albers, B., & Jonker, P. (1999). Parallel watershed algorithm on images from cranial CT-scans using PVM and MPI on a distributed memory system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1697, pp. 418–425). Springer Verlag. https://doi.org/10.1007/3-540-48158-3_52
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