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.
T. Yu. Fisenko and V. T. Fisenko, "Method of automatically analyzing color images," J. Opt. Technol. 70, 637-641 (2003)
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