Ontological Model for Creating Object Contours in an Image

At present, the development of ontological models for creating edges and their contours for moving objects in real time or close to it is an urgent task. An ontological model for implementing this process is shown in this article. The main algorithms for detecting object edges and constructing contours in an image and program codes for their implementation are considered in the article. It is noted that the Canny algorithm is the best for recognizing edges. At the same time, a serious drawback is observed, which consists in the fact that more than 50% of information about their contours is lost with insignificant movement of objects.

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Publication Details

Journal
Automatic Documentation and Mathematical Linguistics
Published
2025-10-01
DOI
https://doi.org/10.3103/s0005105525700736
Citations
1
Primary Topic
Advanced Computational Techniques in Science and Engineering
Type
article
Field-Weighted Citation Impact
3.25
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article

Ontological Model for Creating Object Contours in an Image

A. A. Dorodnykh, A. S. Sizov, M. V. Bobyr, В. П. Добрица
1 citations
Automatic Documentation and Mathematical Linguistics
Advanced Computational Techniques in Science and Engineering
3.25
article

Ontological Model for Creating Object Contours in an Image

A. A. Dorodnykh, A. S. Sizov, M. V. Bobyr, В. П. Добрица
article en
1 citations

Abstract

At present, the development of ontological models for creating edges and their contours for moving objects in real time or close to it is an urgent task. An ontological model for implementing this process is shown in this article. The main algorithms for detecting object edges and constructing contours in an image and program codes for their implementation are considered in the article. It is noted that the Canny algorithm is the best for recognizing edges. At the same time, a serious drawback is observed, which consists in the fact that more than 50% of information about their contours is lost with insignificant movement of objects.

Automatic Documentation and Mathematical LinguisticsVol. 59(S2)
Moscow Institute of Physics and Technology (RU), Scientific Research Institute of Organic Intermediates and Dyes (RU), South-West State University (RU)
Openalex Percentile: Top 6%
Advanced Computational Techniques in Science and Engineering
3.25
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Ontological Model for Creating Object Contours in an Image — A. A. Dorodnykh, A. S. Sizov, et al. · Automatic Documentation and Mathematical Linguistics (2025) | TGRS Research Map | TGRS