Title: Morphological co-processing unit for embedded devices
Authors: Bartovský, Jan
Dokládal, Petr
Faessel, Matthieu
Dokládalová, Eva
Bilodeau, Michel
Citation: BARTOVSKÝ, J., DOKLÁDAL, P., FAESSEL, M., DOKLÁDALOVÁ, E., BILODEAU, M. Morphological co-processing unit for embedded devices. Journal of Real-Time Image Processing, 2018, roč. 15, č. 4, s. 775-786. ISSN: 1861-8200
Issue Date: 2018
Publisher: Springer
Document type: článek
URI: 2-s2.0-84937127674
ISSN: 1861-8200
Keywords in different language: mathematical morphology;hardware implementation;pattern spectrum;reconstruction;parallel computation
Abstract in different language: 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 serial filters involving a geodesic reconstruction step. The coprocessor has been integrated into an FPGA platform running a server that is able to respond to 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.
Rights: Plný text je přístupný v rámci univerzity přihlášeným uživatelům.
© Springer Verlag
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