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.

PDF Article

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access OSA Member Subscription