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Morphological Co-Processing Unit for Embedded Devices

Abstract : This paper focuses on the development of a fully programmable morphological coprocessor for embedded de-vices. It is a well-known fact that the majority of morpho-logical processing operations are composed of a (potentially large) number of sequential elementary operators. At the same time, the industrial context induces a high demand on robustness and decision liability that makes the appli-cation even more demanding. Recent stationary platforms (PC, GPU, clusters) no more represent a computational bot-tleneck in real-time vision or image processing applications. However, in embedded solutions such applications still hit computational limits. The Morphological Co-Processing Unit (MCPU) replies to this demand. It combines the previously published effi-cient dilation and erosion units with geodesic units to sup-port a larger collection of morphological operations, from a simple dilation to a pattern spectrum by reconstruction. The coprocessor has been integrated into a FPGA plat-form running a server, able to respond client's requests over the ethernet. The experimental performance of the MCPU measured on a wide set of operations brings as results in or-ders of magnitude better than another embedded platform an ARM A9 quad-core processor.
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Preprints, Working Papers, ...
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https://hal-mines-paristech.archives-ouvertes.fr/hal-01117406
Contributor : Petr Dokladal Connect in order to contact the contributor
Submitted on : Tuesday, February 17, 2015 - 9:26:39 AM
Last modification on : Tuesday, October 19, 2021 - 11:26:20 AM
Long-term archiving on: : Thursday, May 28, 2015 - 3:40:50 PM

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  • HAL Id : hal-01117406, version 1

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Jan Bartovsky, Petr Dokládal, Matthieu Faessel, Eva Dokladalova, Michel Bilodeau. Morphological Co-Processing Unit for Embedded Devices. 2015. ⟨hal-01117406v1⟩

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