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Proceedings Paper

Architecture for hardware thinning and crest restoration in graylevel images
Author(s): Mohamed Akil
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Paper Abstract

In this article we present the segmentation chain based on contour detection including contour detection followed by thinning and crest restoration of contours. The thinning and crest restoration algorithms are based on topological notions. These algorithms allow us to enhance the segmentation process. This article presents the study to implement edge detection, thinning and crest restoration algorithms on a XCV 300 Virtex FPGA based architecture. The proposed architecture for the thinning and crest restoration operators is based on an optimized architecture for the topological classifier of the characteristics of the point.

Paper Details

Date Published: 18 May 2004
PDF: 12 pages
Proc. SPIE 5297, Real-Time Imaging VIII, (18 May 2004); doi: 10.1117/12.526760
Show Author Affiliations
Mohamed Akil, Lab. A2SI/Groupe ESIEE (France)

Published in SPIE Proceedings Vol. 5297:
Real-Time Imaging VIII
Nasser Kehtarnavaz; Phillip A. Laplante, Editor(s)

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