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Russia and Pacific Conference on Computer Technology and Applications (RPC)

作者： N. Mirzaev E. Saliev Centre for the development of software and hardware-program complexes at Tashkent University of Information Technologies Tashkent Republic of Uzbekistan

ISBN: (纸本)9781538675328

One of the urgent problems in the field of computer vision is the problem of developing algorithms for recognizing objects represented as images. To solve the problem under consideration, recognition algorithms based on radial functions are proposed. The main idea of the proposed algorithms is to form a set of preferred features that simplify the process of developing an extreme algorithm when recognizing images represented as images. To test the efficiency of the proposed algorithms, the problem of diagnostics of diseases of agricultural crops, in particular cotton, according to the images of their leaves, is solved. The results of the conducted experiments show that the application of the proposed algorithms allows increasing the accuracy in solving the problem of cotton diseases diagnosing on the images of its leaves.

关键词： Image recognition Character recognition Mathematical model Classification algorithms Task analysis Analytical models

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An Algorithm for Constructing Feature Relations between the Classes in the Trading Set

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Procedia Computer Science 2017年 103卷 244-247页

作者： Khamroev Alisher Senior researcher Centre for the development of software and hardware-program complexes at the TUIT Tashkent Uzbekistan

In this paper, we propose a new approach for determining the feature relations between classes to solving a problem of classification on based (precedents of) training set. The main Idea of this approach is the selection of best features for object classification in the condition of increasing the number of classes and features in the training set. For this, pay attention to two criteria: increase the recognition quality and reduce the number of calculations by removing non-informative features.

关键词： features relations classification.

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Face recognition on the base of local directional patterns

Face recognition on the base of local directional patterns

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Dynamics of Systems, Mechanisms and Machines (Dynamics)

作者： M. T. Tukhtasinov N. Mirzaev O. M. Narzulloev Centre for the development of software and hardware-program complexes at Tashkent University of Information Technologies Tashkent Republic of Uzbekistan Tashkent University of Information Technologies Tashkent Republic of Uzbekistan

ISBN: (纸本)9781509040513

Local directional pattern (LDP) based methods for frontal face recognition are considered in this paper. LDP based face feature extraction and comparison methods and their performance results are given. The method for normalizing illuminations of face images is given. The results of experimental research of the developed algorithms are presented. The positive properties of LDP operator and recognition algorithms are determined. The comparative analysis of the results of recognition, which uses local operators, is done.

关键词： Face Feature extraction Face recognition Histograms Lighting Information technology Image recognition

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Methods of computing epsilon thresholds in the estimates' calculation's algorithms

Methods of computing epsilon thresholds in the estimates' ca...

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International Conference on Problems of Cybernetics and Informatics (PCI)

作者： Mirzayan Kamilov Mirzaakbar Hudayberdiev Alisher Khamroev Centre for the Development of Software and Hardware-Program Complexes Tashkent Uzbekistan

Methods for calculating epsilon thresholds' values in the family of estimates' calculation's algorithms are discussed. A new approach for choosing the method, which improves quality of recognition results,...

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