Selection of the Binding Object on the Current Image Formed by the Technical Vision System Using Structural and Geometric Features
The purpose of the article is to substantiate the possibility of selecting objects in the image generated by the technical vision system of an unmanned aerial vehicle by using structural and geometric features. This goal is achieved based on the analysis of the distribution of fractal dimension, whi...
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| Format: | Article |
| Language: | English |
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Academy of Sciences of Moldova
2024-07-01
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| Series: | Problems of the Regional Energetics |
| Subjects: | |
| Online Access: | https://journal.ie.asm.md/assets/files/08_03_63_2024.pdf |
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| _version_ | 1849251529150693376 |
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| author | Sotnikov O. Sivak V. Pavlov Ya. Нashenko S. Borysenko T. Torianyk D. |
| author_facet | Sotnikov O. Sivak V. Pavlov Ya. Нashenko S. Borysenko T. Torianyk D. |
| author_sort | Sotnikov O. |
| collection | DOAJ |
| description | The purpose of the article is to substantiate the possibility of selecting objects in the image generated by the technical vision system of an unmanned aerial vehicle by using structural and geometric features. This goal is achieved based on the analysis of the distribution of fractal dimension, which characterizes the structural properties of images, taking into account the object content, and the size of the area of the selection object. The solution to the first problem is based on the formation of histograms of fractal dimension depending on the number of objects in the image and identifying the features by which the object is selected. The solution to the second problem is based on developing an approach to reducing the object content of images by making it noisy. The noise parameters at which signs of object selection appear in the histograms of the distribution of fractal dimensions are determined. The range of fractal dimension defined. The solution to the third problem is based on specifying the selection object by its area. The most significant result is the identified values of fractal dimension ranges depending on the object content of the image, as well as experimentally established noise parameters to identify the necessary features in histograms of fractal dimensions. The significance of the work lies in solving the problem of selecting a reference object on images of heterogeneous object composition. This made it possible to reduce significantly the computational complexity of selecting objects in images. |
| format | Article |
| id | doaj-art-8d812cfbf2fc4e3ca06f6c03fb001f1d |
| institution | Kabale University |
| issn | 1857-0070 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | Academy of Sciences of Moldova |
| record_format | Article |
| series | Problems of the Regional Energetics |
| spelling | doaj-art-8d812cfbf2fc4e3ca06f6c03fb001f1d2025-08-20T03:56:55ZengAcademy of Sciences of MoldovaProblems of the Regional Energetics1857-00702024-07-016339210310.52254/1857-0070.2024.3-63.08Selection of the Binding Object on the Current Image Formed by the Technical Vision System Using Structural and Geometric FeaturesSotnikov O.0https://orcid.org/0000-0001-7303-0401Sivak V.1https://orcid.org/0000-0002-8262-4831Pavlov Ya.2https://orcid.org/0000-0002-0852-5659Нashenko S.3https://orcid.org/0009-0007-7942-5413Borysenko T.4https://orcid.org/0000-0001-6915-6861Torianyk D.5https://orcid.org/0000-0002-7935-9563Kharkiv National Air Force University named after Ivan Kozhedub , Kharkiv, UkraineState Research Institute of Testing and Certification of Weapons and Military Equipment, Cherkasy, UkraineNational Academy of the National Guard of Ukraine, Kharkiv, UkraineMilitary-law institute of the Yaroslav Mudryi National lawyer university, Kharkiv, UkraineKharkiv National University of Radio Electronics, Kharkiv, Ukraine National Academy of the National Guard of Ukraine, Kharkiv, UkraineThe purpose of the article is to substantiate the possibility of selecting objects in the image generated by the technical vision system of an unmanned aerial vehicle by using structural and geometric features. This goal is achieved based on the analysis of the distribution of fractal dimension, which characterizes the structural properties of images, taking into account the object content, and the size of the area of the selection object. The solution to the first problem is based on the formation of histograms of fractal dimension depending on the number of objects in the image and identifying the features by which the object is selected. The solution to the second problem is based on developing an approach to reducing the object content of images by making it noisy. The noise parameters at which signs of object selection appear in the histograms of the distribution of fractal dimensions are determined. The range of fractal dimension defined. The solution to the third problem is based on specifying the selection object by its area. The most significant result is the identified values of fractal dimension ranges depending on the object content of the image, as well as experimentally established noise parameters to identify the necessary features in histograms of fractal dimensions. The significance of the work lies in solving the problem of selecting a reference object on images of heterogeneous object composition. This made it possible to reduce significantly the computational complexity of selecting objects in images.https://journal.ie.asm.md/assets/files/08_03_63_2024.pdfcurrent imageobject selectionunmanned aerial vehiclestructural propertiesfractal dimensionobject saturation. |
| spellingShingle | Sotnikov O. Sivak V. Pavlov Ya. Нashenko S. Borysenko T. Torianyk D. Selection of the Binding Object on the Current Image Formed by the Technical Vision System Using Structural and Geometric Features Problems of the Regional Energetics current image object selection unmanned aerial vehicle structural properties fractal dimension object saturation. |
| title | Selection of the Binding Object on the Current Image Formed by the Technical Vision System Using Structural and Geometric Features |
| title_full | Selection of the Binding Object on the Current Image Formed by the Technical Vision System Using Structural and Geometric Features |
| title_fullStr | Selection of the Binding Object on the Current Image Formed by the Technical Vision System Using Structural and Geometric Features |
| title_full_unstemmed | Selection of the Binding Object on the Current Image Formed by the Technical Vision System Using Structural and Geometric Features |
| title_short | Selection of the Binding Object on the Current Image Formed by the Technical Vision System Using Structural and Geometric Features |
| title_sort | selection of the binding object on the current image formed by the technical vision system using structural and geometric features |
| topic | current image object selection unmanned aerial vehicle structural properties fractal dimension object saturation. |
| url | https://journal.ie.asm.md/assets/files/08_03_63_2024.pdf |
| work_keys_str_mv | AT sotnikovo selectionofthebindingobjectonthecurrentimageformedbythetechnicalvisionsystemusingstructuralandgeometricfeatures AT sivakv selectionofthebindingobjectonthecurrentimageformedbythetechnicalvisionsystemusingstructuralandgeometricfeatures AT pavlovya selectionofthebindingobjectonthecurrentimageformedbythetechnicalvisionsystemusingstructuralandgeometricfeatures AT nashenkos selectionofthebindingobjectonthecurrentimageformedbythetechnicalvisionsystemusingstructuralandgeometricfeatures AT borysenkot selectionofthebindingobjectonthecurrentimageformedbythetechnicalvisionsystemusingstructuralandgeometricfeatures AT torianykd selectionofthebindingobjectonthecurrentimageformedbythetechnicalvisionsystemusingstructuralandgeometricfeatures |