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Proceedings Paper

Method for multispectral image segmentation based on the shape of the color clusters
Author(s): Natalia H. Kroupnova
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Paper Abstract

The paper describes an algorithm for multi-spectral images segmentation that takes into account the shape of the clusters formed by the pixels of the same object in the spectral space. The expected shape of the clusters is based on the dichromatic reflection model, and its extension for optically homogeneous materials. Further the influence of the illumination and image formation by a color CCD camera are considered. Based on expected shape of clusters we propose a criterion of similarity/homogeneity for the extended region merging algorithm. This criterion works successfully in case of objects of voluntary shape and illumination by one or several sources of the same spectrum.

Paper Details

Date Published: 7 February 1997
PDF: 10 pages
Proc. SPIE 2949, Imaging Sciences and Display Technologies, (7 February 1997); doi: 10.1117/12.266349
Show Author Affiliations
Natalia H. Kroupnova, Univ. of Twente (Netherlands)


Published in SPIE Proceedings Vol. 2949:
Imaging Sciences and Display Technologies
Jan Bares; Christopher T. Bartlett; Paul A. Delabastita; Jose Luis Encarnacao; Nelson V. Tabiryan; Panos E. Trahanias; Arthur Robert Weeks, Editor(s)

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