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Proceedings Paper

Real-time reprogrammable low-level image processing: edge detection and edge tracking accelerator
Author(s): M. Meribout; Kun Mean Hou
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Paper Abstract

Currently, in image processing, segmentation algorithms comprise between real time video rate processing and accurate results. In this paper, we present an efficient and not recursive algorithm filter originated from Deriche filter. This algorithm is implemented in hardware by using FPGA technology. Thus, it permits video rate edge detection. In addition, the FPGA board is used as an edge tracking accelerator, it allows us to greatly reduce execution time by avoiding scanning the whole image. We also present the architecture of our vision system dedicated to build 3D scene every 200 ms.

Paper Details

Date Published: 22 October 1993
PDF: 8 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157912
Show Author Affiliations
M. Meribout, Univ. de Technologie de Compiegne (France)
Kun Mean Hou, Univ. de Technologie de Compiegne (France)

Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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