%0 Journal Article %A Gorokhovatskyi, Volodymyr A. %A Gorokhovatskiy, A. V. %A Peredrii, Ye. О. %D 2018 %I Begell House %K computer vision, structural image recognition, set of structural features, key point descriptors, class descriptor, relevance of descriptions, hashing, hash-function, classification rule, relevance computation time %N 13 %P 1159-1168 %R 10.1615/TelecomRadEng.v77.i13.40 %T HASHING OF STRUCTURAL DESCRIPTIONS AT BUILDING OF THE CLASS IMAGE DESCRIPTOR, COMPUTING OF RELEVANCE AND CLASSIFICATION OF THE VISUAL OBJECTS %U https://www.dl.begellhouse.com/journals/0632a9d54950b268,1569258903fbce5c,08b4d2836ec2b8fb.html %V 77 %X The problem of classification of visual objects on the space of the descriptor features of the image key points is solved with application of data hashing to the image description. The efficiency of application of options of the hashing functions is analyzed at building of the class descriptor as a generalized image of the etalon and at determining the level of relevance for the binary descriptions. Experimental estimation of the time for computing the hash-functions and determining the relevance for the hashed images as compared to the traditional voting approach is performed by means of the program simulation. The efficiency of application of hash-processing of data is confirmed in terms of a substantial increase of the performance parameter. %8 2018-08-31