Title of the article:



Georgii I. Borzunov

Andrey V. Firsov

Alexander N. Novikov

Information about the author/authors

Georgii I. Borzunov — DSc in Technical Sciences, Professor, A. N. Kosygin Russian State University, Sadovnicheskaya St., 33, build. 1, 117997 Moscow, Russia. E-mail: borzunov_g@mail.ru

Andrey V. Firsov — DSc in Technical Sciences, Professor, A. N. Kosygin Russian State University, Sadovnicheskaya St., 33, build. 1, 117997 Moscow, Russia. E-mail: firsov_a_v@mail.ru

Alexander N. Novikov — DSc in Technical Sciences, Professor, A. N. Kosygin Russian State University, Sadovnicheskaya St., 33, build. 1, 117997 Moscow, Russia. E-mail: a_n_novikov@mail.ru 


History of Arts




Vol. 50


pp. 284–300


May 15, 2018

Date of publication

December 28, 2018

Index UDK

7.017.412 +745.04

Index BBK



This paper is the first to perform indexing of color combinations of the spinning wheels patterns, based on a selection from the Museum Fund of A. N. Kosygin Russian State University. The authors display the efficiency of the proposed indexing method: all the images with differing color contrasts obtained different indexes, i.e. different values of characteristic vectors. The analysis of the specified characteristic vectors allowed to define features of distribution of color contrasts in indexed images and to allocate the most characteristic color combinations for patterns of spinning wheels. The computational experiment showed that this method of color image indexing can be used for automated classification of large collections of as patterns of spinning wheels so important for art studies of color images. In addition, this method of indexing color combinations can serve as a basis for content search of spinning wheels` color patterns based on the recognition of color contrasts.


collection of images, patterns, spinning wheels, automatic classification, content search of images, control points detectors, descriptors reference points, color contrasts.


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