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Parallel Implementation of Sequential Morphological Filters

Abstract : Many useful morphological filters are built as more or less long concatenations of erosions and dilations: openings, closings, size distributions, sequential filters, etc. An efficient implementation of such concatenation would allow all the sequentially concatenated operators run simultaneously, on the time-delayed data. A recent algorithm (see below) for the morphological dilation/erosion allows such inter-operator parallelism. This paper introduces an additional, intra-operator level of parallelism in this dilation/erosion algorithm. Realized in a dedicated hardware, for rectangular structuring elements with programmable size, such an implementation allows to obtain previously unachievable, real-time performances for these traditionally costly operators. Low latency and memory requirements are the main benefits when the performance is not deteriorated even for long concatenations or high-resolution images.
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Jan Bartovsky, Petr Dokládal, Eva Dokladalova, Vjaceslav Georgiev. Parallel Implementation of Sequential Morphological Filters. Journal of Real-Time Image Processing, Springer Verlag, 2011, to appear (-), pp.1-13. ⟨10.1007/s11554-011-0226-5⟩. ⟨hal-00786367⟩

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