Morphological Co-Processing Unit for Embedded Devices
Résumé
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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