Distance maps and inscribed convex sets for shape classification applied to road signs

Frédérique Robert-Inacio

doi:10.1117/12.890936

12 July 2011 Distance maps and inscribed convex sets for shape classification applied to road signs

Frédérique Robert-Inacio

Proceedings Volume 8000, Tenth International Conference on Quality Control by Artificial Vision; 800007 (2011) https://doi.org/10.1117/12.890936
Event: 10th International Conference on Quality Control by Artificial Vision, 2011, Saint-Etienne, France

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.

Citation Download Citation

Frédérique Robert-Inacio "Distance maps and inscribed convex sets for shape classification applied to road signs", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 800007 (12 July 2011); https://doi.org/10.1117/12.890936

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