Title :
Color space selection for color image segmentation by spectral clustering
Author :
Busin, L. ; Shi, J. ; Vandenbroucke, N. ; Macaire, L.
Author_Institution :
Ecole d´´Ing. du Pas-de-Calais, Longuenesse, France
Abstract :
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.
Keywords :
image colour analysis; image segmentation; color image analysis; color image segmentation; color space selection; spectral clustering; Clustering algorithms; Clustering methods; Graph theory; Image analysis; Image color analysis; Image segmentation; Layout; Pixel; Shape; Supervised learning;
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5560-7
DOI :
10.1109/ICSIPA.2009.5478603