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Proceedings Paper

ARM-based embedded processor: real-time implementation for thinning and crest restoration in gray-level images
Author(s): Mohamed Akil
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Paper Abstract

This paper describes the hardware and software implementation of image segmentation chain on ARM based embedded processor. Image segmentation chain is composed by edge detection operator, thinning and crest restoration operators. Thinnning and restoration steps provide closing and thin contours. The crest restoration processing can be followed by region labeling to get a unique label for each closed region. The seamless ALTERA flow allows designing and implementing efficiently the segmentation architecture into the XA10 Excalibur board. The Altera flow provides design entries for hardware/software, simulation and evaluation steps. The architecture of the edge detection, thinning and crest restoration operators are hardware and software optimized for real-time image processing.

Paper Details

Date Published: 25 February 2005
PDF: 9 pages
Proc. SPIE 5671, Real-Time Imaging IX, (25 February 2005); doi: 10.1117/12.587725
Show Author Affiliations
Mohamed Akil, Lab. A2SI, Ecole Superieure d'Ingenieurs en Electronique et Electrotechnique (France)


Published in SPIE Proceedings Vol. 5671:
Real-Time Imaging IX
Nasser Kehtarnavaz; Phillip A. Laplante, Editor(s)

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