Michal Swiercz

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In this paper a fast, parallel watershed algorithm for seg-mentation of digital grey-scale images is presented. We show an original parallelisation technique based on the " shared nothing " principle and its application to a modified path-tracing watershed algorithm, which allows a vast majority of computations to be broken up into several independent tasks(More)
The paper presents an effective and robust method of classifying binary patterns. It starts with classification of foreground pixels of binary image into several spatial classes, which is performed using morphological image processing. By performing this classification with structuring elements of increasing sizes, the spatial class distribution functions(More)
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