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Proceedings Paper

Distance maps and inscribed convex sets for shape classification applied to road signs
Author(s): Frédérique Robert-Inacio
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Paper Abstract

This paper presents an algorithm enabling to detect disks on color images. The proposed method is based on a basic color segmentation giving a preliminary binary image. Then distance mapping is used to determine possible circles. And finally circle location is combined to color information in order to find the best-fitting disk. Furthermore, disks are, in a wide understanding, sets of points for which the distance to a particular point called center, is lower or equal to a given radius value. That is why the proposed method can also detect squares, octagons and other shapes that occur to be disks for a given distance, such as Euclidean, chessboard, Manhattan or chamfer distances. An application to pattern recognition for road sign interpretation is also presented in order to illustrate how road sign shape is a useful and significant information in the sign interpretation process.

Paper Details

Date Published: 12 July 2011
PDF: 10 pages
Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 800007 (12 July 2011); doi: 10.1117/12.890936
Show Author Affiliations
Frédérique Robert-Inacio, IM2NP, CNRS, Univ. Paul Cézanne (France)
Institut Supérieur de l'Electronique et du Numérique (France)


Published in SPIE Proceedings Vol. 8000:
Tenth International Conference on Quality Control by Artificial Vision
Jean-Charles Pinoli; Johan Debayle; Yann Gavet; Frédéric Gruy; Claude Lambert, Editor(s)

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