Abstract
This paper presents a method of automatically analyzing color television images. The method is
based on the unification of segmentation and clusterization. It makes it possible to take
into account both the spatial and the color characteristics of the image. The number of clusters is
not predetermined but is computed during the processing in accordance with the information
contained in the image. The boundary of a segment is determined to within a raster element, unlike
fragmenting methods, in which the accuracy with which the boundary is determined
depends on the size of the fragment. The algorithm reduces feature space from 16 million to
several tens of clusters. The algorithm is implemented as part of a software package for a television
computational system for analyzing color images.
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