Color space analysis in color image segmentation

Authors:
David X. Zhong
Affiliations:
The University of Sydney
Venue:
VIP '00 Selected papers from the Pan-Sydney workshop on Visualisation - Volume 2
Year:
2000

Citing 8
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Abstract

This report describes a novel method to analyze and segment the color space. It includes color space pyramiding, low-pass filtering, 3-D object labeling and property calculation to acquire a proper number of colors and a good initial estimate of center positions, then fuzzy c-means algorithm can be used to optimally cluster the color space distribution points.