Formation of an algorithm for increasing the accuracy of restoring the boundaries of objects obtained to create 3D structures

Evgenii Semenishchev; Aleksandr Zelensky; Marina Zhdanova; Yury Ilyukhin; Roman Sizyakin; Viacheslav Voronin

doi:10.1117/12.2641158

28 October 2022 Formation of an algorithm for increasing the accuracy of restoring the boundaries of objects obtained to create 3D structures

Evgenii Semenishchev, Aleksandr Zelensky, Marina Zhdanova, Yury Ilyukhin, Roman Sizyakin, Viacheslav Voronin

Author Affiliations +

Proceedings Volume 12276, Artificial Intelligence and Machine Learning in Defense Applications IV; 122760L (2022) https://doi.org/10.1117/12.2641158
Event: SPIE Security + Defence, 2022, Berlin, Germany

Conference Poster

Abstract

The article proposes an approach to improve the accuracy of restoring the boundaries of objects obtained to create 3D structures by analyzing data obtained by a machine vision system. At the first stage, the operation of reducing the number of color gradients is performed, the technique allows you to combine similar values into common enlarged structures. This operation allows you to simplify the analyzed objects, since small details are not important. In parallel with the first operation of denoising is performed. The paper proposes the application of the multicriteria processing method with the possibility of smoothing locally stationary sections and preserving the boundaries of objects. As an algorithm for strengthening the boundaries of objects, a modification of the combined multi-criteria method is used, which makes it possible to reduce the effect of salt/pepper noise and impulse failures, as well as to strengthen the detected boundaries of objects. The resulting images with enhanced boundaries are fed to the input of the block for constructing three-dimensional objects. The data obtained by both a stereo pair and a camera based on 3D construction using structured light were used in the work. On a set of synthetic data simulating the work in real conditions, the increase in the efficiency of the system using the proposed approach is shown. Based on field data under conditions of interfering factors in the form of dust/fog, the applicability of the proposed approach for solving problems of increasing the accuracy of restoring the boundaries of objects obtained to create three-dimensional structures is shown. Images of simple shapes are used as analyzed objects.

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Evgenii Semenishchev, Aleksandr Zelensky, Marina Zhdanova, Yury Ilyukhin, Roman Sizyakin, and Viacheslav Voronin "Formation of an algorithm for increasing the accuracy of restoring the boundaries of objects obtained to create 3D structures", Proc. SPIE 12276, Artificial Intelligence and Machine Learning in Defense Applications IV, 122760L (28 October 2022); https://doi.org/10.1117/12.2641158

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