Architecture for hardware thinning and crest restoration in graylevel images

Mohamed Akil

doi:10.1117/12.526760

18 May 2004 Architecture for hardware thinning and crest restoration in graylevel images

Mohamed Akil

Proceedings Volume 5297, Real-Time Imaging VIII; (2004) https://doi.org/10.1117/12.526760
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

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.

Citation Download Citation

Mohamed Akil "Architecture for hardware thinning and crest restoration in graylevel images", Proc. SPIE 5297, Real-Time Imaging VIII, (18 May 2004); https://doi.org/10.1117/12.526760

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