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Proceedings Paper

Line segments on binary images: algorithm and application
Author(s): Michel Schmitt
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Paper Abstract

This paper deals with the robust extraction of line segments in noisy binary images. The principle is to find maximal geodesic arcs lying in the shape. A rigorous digital framework is first presented, then an efficient algorithm is described and results on real data presented. Some hints for filling the gaps between disconnected arcs are finally exposed.

Paper Details

Date Published: 30 June 1994
PDF: 8 pages
Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); doi: 10.1117/12.179183
Show Author Affiliations
Michel Schmitt, Thomson-CSF (France)

Published in SPIE Proceedings Vol. 2300:
Image Algebra and Morphological Image Processing V
Edward R. Dougherty; Paul D. Gader; Michel Schmitt, Editor(s)

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