Article

Article title LINGUISTIC METHODS IN THE PROBLEMS OF IMAGE RECOGNITION
Authors V.A. Tupikov, V.A. Pavlova, S.N. Krjukov, M.V Sozinova, P.K. Shulzhenko
Section SECTION IV. VISION SYSTEMS AND ONBOARD COMPUTERS
Month, Year 01, 2015 @en
Index UDC 623.746.2+623.746-519
DOI
Abstract The main problem in solving the ATR tasks is the complexity of standard creation. It is just because the most of modern methods need the accurate assignments of the standard image for target recognition and this is not always possible. In this connection the aim of the suggested work is to observe the image processing methods, giving the possibility to simplify the process of standards creations. The given article proposes the use of linguistic methods in solving the problems of automatic image recognition. The linguistic methods are applicable in the problems of images recognition, which need information descripting the structure of every image object. The linguistic recognition methods are based on the image representation in the set form of primitive elements of different levels, describing the most significant parts of scene and the matching them with the given standard description according to given rules. The main advantage of linguistic methods is the possibility of given object recognition according to the given description of most significant standard features without the necessity of precise standard image assignment. Moreover the recognition result does not depend on scale and space orientation of object. Thus, the proposed linguistic methods are effective instrument for urbanistic objects recognition.

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Keywords Structure description; linguistic algorithms; automatic image recognition; the all aspects recognition algorithms; Haugh transformation.
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