Color image processing using symbolic data analysis

Giannoula Florou

doi:10.1117/12.258232

14 November 1996 Color image processing using symbolic data analysis

Giannoula Florou

Proceedings Volume 2847, Applications of Digital Image Processing XIX; (1996) https://doi.org/10.1117/12.258232
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

Citation Download Citation

Giannoula Florou "Color image processing using symbolic data analysis", Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); https://doi.org/10.1117/12.258232

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