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Optical Engineering

Robust color circle-marker detection algorithm based on color information and Hough transformation
Author(s): Hongying Zhang; Fan Yang; Yadong Wu; Michel Paindavoine
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Paper Abstract

We present a detailed experimental study of circle-marker detection algorithms based on color information. Three color spaces-HSV (hue, saturation, value), normalized color space rgb, and the gray-world normalization (NG) color space-are of main concern. We compare the algorithms based on these color spaces and combine them to use the color information simultaneously with shape-based marker detection techniques, and the Hough transformation, to achieve a new, robust, color-based circle-marker detection algorithm that gives higher accuracy. Experimental results show that the proposed algorithm is good enough to detect a circle marker in a complex background with various illuminations.

Paper Details

Date Published: 1 October 2009
PDF: 10 pages
Opt. Eng. 48(10) 107202 doi: 10.1117/1.3242757
Published in: Optical Engineering Volume 48, Issue 10
Show Author Affiliations
Hongying Zhang, Southwest Univ. of Science and Technology (China)
Fan Yang, Univ. de Bourgogne (France)
Yadong Wu, Southwest Univ. of Science and Technology (China)
Michel Paindavoine, Univ. de Bourgogne (France)

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