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Proceedings Paper

Color image processing using symbolic data analysis
Author(s): Giannoula Florou
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Paper Abstract

In this paper we use symbolic data analysis in the color image processing. First, we define symbolic objects and we describe also a method of clustering, in order to find the optimal number of homogeneous parts in the image. After, we describe the similarity and dissimilarity measures for symbolic objects. We define a new similarity measure between symbolic objects with quantitative variables. Finally we present results with real images, using the new similarity between pixels, taking into account their color and also their neighborhood.

Paper Details

Date Published: 14 November 1996
PDF: 9 pages
Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); doi: 10.1117/12.258232
Show Author Affiliations
Giannoula Florou, Univ. of Macedonia (Greece)

Published in SPIE Proceedings Vol. 2847:
Applications of Digital Image Processing XIX
Andrew G. Tescher, Editor(s)

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