Color segmentation based on separate anisotropic diffusion of chromatic and achromatic channels

Luca Lucchese*, ** and Sanjit K. Mitra*

* Dept. of Electrical and Computer Eng.
University of California at Santa Barbara
Santa Barbara, CA 93106

** Dipartimento di Elettronica e Informatica
Universita di Padova, Italy
Via G. Gradenigo 6/A, 35131 Padova
phone: (805) 893 8312, fax: (805) 893 3262
e-mail: fluca,mitrag [at] iplab.ece.ucsb.edu

Abstract

This paper presents a new technique for segmenting images only on the basis of color information. It is shown how segmentation can bene t from splitting color signals into chromatic and achromatic channels and separately smoothing them through anisotropic di usion. Operatively, this is accomplished through two independent di usion rocesses: one involves only the chromatic information, conveniently embeddedin a complex function, while the other a ects the lightness information. The results of the two di usions are separately segmented by k-means clustering techniques and their combination yields the nal image partition into homogeneous regions. Some experimental results are reported in the paper which verify the e ectiveness of the proposed technique.
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L. Lucchese and S. K. Mitra,
IEEE Proceedings: Vision, Image, and Signal Processing, Sep. 2001.
Node ID: 333 , DB ID: 131 , Lab: IPL , Target: Proceedings
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