Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadata

Cited literature [35 references]  Display  Hide  Download
Contributor : Petr Dokladal Connect in order to contact the contributor
Submitted on : Thursday, June 25, 2015 - 3:30:44 PM
Last modification on : Saturday, January 15, 2022 - 3:57:16 AM
Long-term archiving on: : Friday, October 9, 2015 - 5:36:16 PM


main_HAL_version (1).pdf
Files produced by the author(s)



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⟩



Record views


Files downloads