Morphological Co-Processing Unit for Embedded Devices

Abstract : This paper focuses on the development of a fully programmable morphological coprocessor for embedded devices. It is a well-known fact that the majority of morphological 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 application even more demanding. Recent stationary platforms (PC, GPU, clusters) no more represent a computational bottleneck 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 assembles the previously published efficient dilation/erosion units with geodesic units and ALUs to support a larger collection of morphological operations, from a simple dilation to a serial filters involving a geodesic reconstruction step. The coprocessor has been integrated into an 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 orders of magnitude better than another embedded platform, built around an ARM A9 quad-core processor.
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Jan Bartovsky, Petr Dokládal, Matthieu Faessel, Eva Dokladalova, Michel Bilodeau. Morphological Co-Processing Unit for Embedded Devices. Journal of Real-Time Image Processing, Springer Verlag, 2015, pp. 1-12. ⟨10.1007/s11554-015-0518-2⟩. ⟨hal-01117406v2⟩

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