%0 Journal Article %A Gorokhovatskiy, V. A. %A Kobylin, O. A. %A Kulikov, Yu.A. %D 2015 %I Begell House %K computer vision, structural methods for image recognition, characteristic features, structural description, granulation, reduction, uniqueness index %N 6 %P 503-514 %R 10.1615/TelecomRadEng.v74.i6.30 %T APPLICATION OF GRANULATION OF FEATURE DESCRIPTIONS IN STRUCTURAL IMAGE RECOGNITION %U https://www.dl.begellhouse.com/journals/0632a9d54950b268,24f4e5e87a006fcc,6a02af495e732b97.html %V 74 %X The problems of smart intellectual processing of multidimensional data in computer vision systems are discussed. A method for generating the compressed structural description of an image in terms of granulating feature values as finite-dimensional vectors is proposed. This approach results in minimizing computational time and reducing the number of false compliances. The simulated results for the bases of images are given. %8 2015-08-07