Color space selection for color image segmentation by spectral clustering
Laurent Busin, Jianbo Shi, Nicolas Vandenbroucke, Ludovic Macaire · 2009
In this paper, we propose to segment color images by pixel clustering in a selected color space. This color space is selected among a set of classical color spaces according to a specific criterion based on a spectral clustering analysis. The clusters are determined by analyzing the 3D-histogram of the image coded in the selected color space thanks to a spectral clustering method. This scheme can identify clusters with complex shapes in the color space without any other post/pre-processing stages.