STRUCTURAL SYNTHESIS OF THE COMPUTER VISION AND ITS PARAMETRIC IDENTIFICATION WITH STATISTICAL ESTIMATION OF VARIATIONAL PARAMETERS

A. R. Iskhakov, V. R. Akbashev

Abstract


The article presents the results of a study of the problem on structural synthesis of a computer vision and its parametric identification. We present the main classes of procedural transformations of images and describe a method for constructing a model of a vision system for measuring a deterministic feature using procedural and parametric transformations of modified descriptive image algebras. The function of measuring a deterministic quantitative characteristic of an object of observation is defined as a superposition of a procedural and parametric descriptive algebraic image transformation scheme. The parametric identification problem is formulated in the form of a nonlinear optimization problem. We give examples of the use of the described method in measuring the area of objects of various nature. Recommendations are formulated for the statistical processing of the values of the measured characteristic in order to clarify its value.


Keywords


image transformation; feature measurement; computer vision model; structural synthesis of model; parametric identification of model; nonlinear optimization; confidence interval.

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References


Gridin V.N., Titov V.S., Trufanov M.I. Adaptive Technical Computer Vision. Saint-Petersburg, Nauka, 2009, 441 p. (in Russian)

Syryamkin V.I., Syryamkin M.V., Titov D.V., Titov V.S., Trufanov M.I. Adaptive Technical Computer Vision. Moscow, Ru-Science, 2019, 448 p. (in Russian)

Iskhakov A.R., Malikov R.F. Modeling of Technical Vision Systems in Modied Descriptive Image Algebras. Ufa, Bashkir State Pedagogical University M. Akmulla, 2015, 159 p. (in Russian)

Iskhakov A.R. Methods of Mathematical Modeling of Image Processing and Analysis in Modied Descriptive Image Algebras. Ph.D. Thesis. Chelyabinsk, South Ural State University, 2017, 164 p. (in Russian)

Iskhakov A.R. Mathematical Methods of Modeling of Image Processing and Analysis in the Modied Descriptive Algebras of Images. Journal of Computational and Engineering Mathematics, 2016, vol. 3, no. 1, pp.3-9. DOI: 10.14529/jcem160101

Iskhakov A.R., Malikov R.F. Calculation of Aircraft Area on Satellite Images by Genetic Algorithm. Bulletin of the South Ural State University. Series: Mathematical Modelling, Programming and Computer Software, 2016, vol. 9, no. 4, pp. 148-154. DOI: 10.14529/mmp160414

Kochurov B.I., Malikov R.F., Iskhakov A.R., Turikeshev G.T.G., Usmanova A.R., Kratynskaya E.B. Investigation of the Dynamics of the Area of Lake Aslykul (Southern Urals) by the Method of Image Processing of Satellite Images Based on an Algebraic Approach. Teoreticheskaya i prikladnaya ekologiya, 2021, no. 1, pp. 58-64. (in Russian) DOI: 10.25750/1995-4301-2021-1-058-064

Gatelyuk O.V. Testing Statistical Hypotheses. Saint-Peterburg, Lan', 2022, 112 p. (in Russian)


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