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15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
Color Image Segmentation by Supervised Pixel Classification in a Color Texture Feature Space: Application to Soccer Image Segmentation
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
Nicolas Vandenbroucke, Universit? des Sciences et Technologies de Lille
Ludovic Macaire, Universit? des Sciences et Technologies de Lille
Jack-Gérard Postaire, Universit? des Sciences et Technologies de Lille
In this paper, we describe a new approach to color image segmentation, which is considered as a supervised pixel classification problem. The pixel classification algorithm analyses the color texture features, that is to say the texture features that are computed by tacking into account the color components of the neighbor pixels. We determine the most discriminating color texture features among a multidimensional set of color texture features by means of an iterative feature selection procedure associated to an information criterion. We successfully apply our new approach to soccer image segmentation.
Citation:
Nicolas Vandenbroucke, Ludovic Macaire, Jack-Gérard Postaire, "Color Image Segmentation by Supervised Pixel Classification in a Color Texture Feature Space: Application to Soccer Image Segmentation," icpr, vol. 3, pp.3625, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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