Color image processing using symbolic data analysis
Giannoula S. Florou · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
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.