Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems
The paper presents the results of the study of a two-stage procedure for selecting a reference object in the current image formed by a correlation-extreme system used for autonomous navigation of unmanned aerial vehicles. The aim of this paper is to theoretically evaluate the probability of selectin...
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| Format: | Article |
| Language: | English |
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Academy of Sciences of Moldova
2023-11-01
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| Series: | Problems of the Regional Energetics |
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| Online Access: | https://journal.ie.asm.md/assets/files/03_04_60_2023.pdf |
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| author | Udovenko S. Tiurina V. Boychenko O. Breus P. Onishchenko Yu. Gnusov Yu. Svitlychnyi V. |
| author_facet | Udovenko S. Tiurina V. Boychenko O. Breus P. Onishchenko Yu. Gnusov Yu. Svitlychnyi V. |
| author_sort | Udovenko S. |
| collection | DOAJ |
| description | The paper presents the results of the study of a two-stage procedure for selecting a reference object in the current image formed by a correlation-extreme system used for autonomous navigation of unmanned aerial vehicles. The aim of this paper is to theoretically evaluate the probability of selecting low-dimensional low-contrast objects in the segmented current image according to the proposed two-stage procedure. To achieve this goal, the problem of segmentation of images of the sighting surface and subsequent selection of the reference object in the presence of heterogeneous objects differing in brightness and area characteristics is solved. The most significant result is the justification of application of two-stage procedure of selection of the reference object in the current image by brightness and area parameters using the set thresholds. The significance of the obtained results consists in establishing the dependence of the probability of correct selection of the reference object on the noise level of the current images. It is shown that the probability of correct selection of the object in the image is a function of the threshold value and can be maximised by choosing its value. This approach allows to consider the influence of various factors leading to image noise on the quality of images formed by the navigation system. It is shown that when noise distorts more than 31% of the image pixels, the proposed two-stage procedure allows to ensure the selection of the reference object in the image with a probability not lower than 0.9. |
| format | Article |
| id | doaj-art-3b6ef6a4b8394064b8482eb94788aa76 |
| institution | DOAJ |
| issn | 1857-0070 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | Academy of Sciences of Moldova |
| record_format | Article |
| series | Problems of the Regional Energetics |
| spelling | doaj-art-3b6ef6a4b8394064b8482eb94788aa762025-08-20T02:52:56ZengAcademy of Sciences of MoldovaProblems of the Regional Energetics1857-00702023-11-01604304210.52254/1857-0070.2023.4-60.03Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems Udovenko S.0https://orcid.org/0000-0001-5945-8647Tiurina V. 1Boychenko O.2Breus P.3Onishchenko Yu.4Gnusov Yu. 5Svitlychnyi V.6Simon Kuznets Kharkiv National University of Economics, Kharkiv, UkraineKharkiv National Air Force University named after Ivan Kozhedub, Kharkiv, Ukraine State Scientific Research Institute of Armament and Military Equipment Testing and Certification, Cherkasy, Ukraine Flight Academy of the National Aviation University, Kropyvnytskyi, UkraineKharkiv National University of Internal Affairs, Kharkiv, UkraineKharkiv National University of Internal Affairs, Kharkiv, UkraineKharkiv National University of Internal Affairs, Kharkiv, UkraineThe paper presents the results of the study of a two-stage procedure for selecting a reference object in the current image formed by a correlation-extreme system used for autonomous navigation of unmanned aerial vehicles. The aim of this paper is to theoretically evaluate the probability of selecting low-dimensional low-contrast objects in the segmented current image according to the proposed two-stage procedure. To achieve this goal, the problem of segmentation of images of the sighting surface and subsequent selection of the reference object in the presence of heterogeneous objects differing in brightness and area characteristics is solved. The most significant result is the justification of application of two-stage procedure of selection of the reference object in the current image by brightness and area parameters using the set thresholds. The significance of the obtained results consists in establishing the dependence of the probability of correct selection of the reference object on the noise level of the current images. It is shown that the probability of correct selection of the object in the image is a function of the threshold value and can be maximised by choosing its value. This approach allows to consider the influence of various factors leading to image noise on the quality of images formed by the navigation system. It is shown that when noise distorts more than 31% of the image pixels, the proposed two-stage procedure allows to ensure the selection of the reference object in the image with a probability not lower than 0.9.https://journal.ie.asm.md/assets/files/03_04_60_2023.pdfcorrelation-extremal navigation systemunmanned aerial vehiclesinformation featuresimage segmentation methoddecision function. |
| spellingShingle | Udovenko S. Tiurina V. Boychenko O. Breus P. Onishchenko Yu. Gnusov Yu. Svitlychnyi V. Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems Problems of the Regional Energetics correlation-extremal navigation system unmanned aerial vehicles information features image segmentation method decision function. |
| title | Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems |
| title_full | Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems |
| title_fullStr | Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems |
| title_full_unstemmed | Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems |
| title_short | Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems |
| title_sort | segmentation of images used in unmanned aerial vehicles navigation systems |
| topic | correlation-extremal navigation system unmanned aerial vehicles information features image segmentation method decision function. |
| url | https://journal.ie.asm.md/assets/files/03_04_60_2023.pdf |
| work_keys_str_mv | AT udovenkos segmentationofimagesusedinunmannedaerialvehiclesnavigationsystems AT tiurinav segmentationofimagesusedinunmannedaerialvehiclesnavigationsystems AT boychenkoo segmentationofimagesusedinunmannedaerialvehiclesnavigationsystems AT breusp segmentationofimagesusedinunmannedaerialvehiclesnavigationsystems AT onishchenkoyu segmentationofimagesusedinunmannedaerialvehiclesnavigationsystems AT gnusovyu segmentationofimagesusedinunmannedaerialvehiclesnavigationsystems AT svitlychnyiv segmentationofimagesusedinunmannedaerialvehiclesnavigationsystems |