1 October 2009 Robust color circle-marker detection algorithm based on color information and Hough transformation
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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.
© (2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Hongying Zhang, Fan Yang, Yadong Wu, Michel Paindavoine, "Robust color circle-marker detection algorithm based on color information and Hough transformation," Optical Engineering 48(10), 107202 (1 October 2009). https://doi.org/10.1117/1.3242757 . Submission:
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