Damdinova T.T., Ayusheev T.V., Balzhinimaeva S.M., Abatnin A.A. —
Modeling of bodies with spherical pores by generalized linear interpolation
// Software systems and computational methods. – 2022. – ¹ 2.
– P. 42 - 51.
DOI: 10.7256/2454-0714.2022.2.38262
URL: https://en.e-notabene.ru/itmag/article_38262.html
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Abstract: The article offers a description of parametric objects with spherical pores by generalized linear interpolation. Increasing the volume of high-resolution image data requires the development of algorithms capable of processing large images with reduced computational costs. Numerical data on the geometry of the pores of the object under study are transformed into the geometry of bodies consisting of octagonal portions of cubic shape. Parametric porous objects can model both the shape and the isoparametric interior. Often, this type of parametric bodies is used as initial or boundary conditions in numerical modeling to demonstrate internal modeling. To form a body of complex shape, parametric solid-state elements can be connected together. The continuity between the elements can be determined in the same way as when modeling cubic parametric splines. A lot of research is devoted to the reconstruction of the geometric structure of porous materials based on digital images of objects for a better understanding and representation of physical processes in a porous medium. A detailed understanding of the microstructure can be used to determine physical properties, and then to evaluate and improve the characteristics of simulated objects and processes in them. The article presents the results of the proposed algorithm in the MathCAD environment and software processing of a porous body based on digital images.
Damdinova T.T., Nikiforova A.P., Prudova L.Y., Bubeev I.T. —
The use of digital image processing methods to determine the moisture-binding capacity of meat and fish products
// Software systems and computational methods. – 2019. – ¹ 3.
– P. 20 - 29.
DOI: 10.7256/2454-0714.2019.3.30646
URL: https://en.e-notabene.ru/itmag/article_30646.html
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Abstract: The article presents the results of determining the moisture-binding ability and plasticity of food products. Many indicators depend on the ability of meat and fish to bind moisture, including juiciness, tenderness, yield, loss during heat treatment, and appearance. The objects for research were Baikal omul, fresh and salted, beef meat in thawed condition. The moisture-binding ability and plasticity of the objects of study were evaluated by the pressing method. The paper presents the calculations performed using the traditional method and the method of digital processing of color images. Digital image processing was performed using a program developed by the authors, the article provides drawings and tables obtained during image processing. The undoubted advantage of the processing program compared to the traditional method is a significant reduction in time for processing images and the ability to process a large amount of data in a short time. When creating the necessary shooting conditions, the digital image processing method for determining the moisture-binding ability and plasticity of food products can be successfully used for laboratory research in determining the quality of meat and fish products.
Damdinova T.T., Bubeev I.T., Motoshkin P.V. —
Method of modeling a curve of the first order smoothness
// Software systems and computational methods. – 2019. – ¹ 1.
– P. 12 - 17.
DOI: 10.7256/2454-0714.2019.1.28815
URL: https://en.e-notabene.ru/itmag/article_28815.html
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Abstract: The article presents an algorithm for modeling a composite curve of the first order smoothness. The necessary formulas for determining the bypass consisting of arcs of third degree polynomials are given. The first option describes the approximation of the entire array of points with the requirement of incidence of the first and last points of the contour. The second option considers the modeling of a curve, with the requirement of incidence of the first point and the free end at the last point, using the principle of drawing curves. In the third variant, the curve must pass through the last point of the array, and at the first point it must meet the requirement of the first order of smoothness tangentially obtained in the previous step. Special points are preliminarily defined on the object - the breakpoint of the contour and points with vertical and horizontal tangents that impose smoothness conditions on the modeled bypass. To model a curve, the least-squares approximation is performed by third-degree polynomials on the set of ordered points bounded by the break points that make up the edge. The advantage of the developed contour modeling method is, firstly, the possibility of processing a large array of points with the observance of a given accuracy. Secondly, it is much easier to ensure the smoothness of the first degree of bypass compared to other methods that use various functions of connecting arcs of the bypass, and it is also important to significantly reduce the amount of data being processed, while maintaining the required specified accuracy. Further works will present the remaining options and formulas for the calculation and their application in the field of reverse engineering, in solving problems of geometric modeling in image processing.