Paper
30 June 1994 Line segments on binary images: algorithm and application
Michel Schmitt
Author Affiliations +
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michel Schmitt "Line segments on binary images: algorithm and application", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179183
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KEYWORDS
Image segmentation

Binary data

Image processing algorithms and systems

Digital filtering

Mathematical morphology

Image processing

Polonium

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