МЕТОД РОЗПІЗНАВАННЯ ОПТИЧНИХ ЗОБРАЖЕНЬ У ХЕММІНГОВОМУ ПРОСТОРІ НА ОСНОВІ КРИТЕРІЮ СТРУКТУРНОЇ СКЛАДНОСТІ

The theoretical principles of the formation of the criterion of structural complexity of binary, halftone and color optical images in the Hamming space are highlighted, analytical expressions of the Hamming distance estimates are given on the basis of different crosscorrelation functions, and the examples of applying the method for recognition of optical images in the Hamming space while solving applied problems of structuring multifunctional data in distributed computer systems are presented in this paper. The research results can be used while developing high capacity processors for data encryption. These devices are based on a functional scheme of the device for calculating the modular correlation function. This leads to increased efficiency of the device for estimating the Hamming distance between two signals. [ABSTRACT FROM AUTHOR]