Color space selection for color image segmentation by spectral clustering

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...

Full description

Saved in:
Bibliographic Details
Published in2009 IEEE International Conference on Signal and Image Processing Applications pp. 262 - 267
Main Authors Busin, L, Shi, J, Vandenbroucke, N, Macaire, L
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Clustering algorithms
Clustering methods
Graph theory
Image analysis
Image color analysis
Image segmentation
Layout
Pixel
Shape
Supervised learning
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:142445560X
9781424455607
DOI:10.1109/ICSIPA.2009.5478603