Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object
We study the transformation of the analyzed object by a variety of spatial filters including bandpass, differential, radial filters, various types of vortex filters, and Hilbert filters. Advantages and disadvantages of different filters in terms of clarity and direction-invariance of edge extraction...
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| Format: | Article |
| Language: | English |
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Samara National Research University
2024-08-01
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| Series: | Компьютерная оптика |
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| Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO48-4/480407e.html |
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| author | S.N. Khonina A.P. Porfirev P.A. Khorin A.P. Dzyuba D.P. Serafimovich R.V. Skidanov |
| author_facet | S.N. Khonina A.P. Porfirev P.A. Khorin A.P. Dzyuba D.P. Serafimovich R.V. Skidanov |
| author_sort | S.N. Khonina |
| collection | DOAJ |
| description | We study the transformation of the analyzed object by a variety of spatial filters including bandpass, differential, radial filters, various types of vortex filters, and Hilbert filters. Advantages and disadvantages of different filters in terms of clarity and direction-invariance of edge extraction, as well as the energy efficiency are numerically demonstrated. Based on the results obtained, multi-order optical spatial vortex filters with different parameters are developed for simultaneously extracting contours of various object parts. We show that a multi-order filter makes it possible to form a set of images in one plane with a clearly defined contour, object corners and various parts of the contour. Numerical and experimental testing of 4- and 5-channel spatial vortex filters of various types was applied for test objects. A possibility of using the proposed filters to simultaneously highlight the edges of the entire image and various parts of the image in order to extract more features from the analyzed image is shown. |
| format | Article |
| id | doaj-art-91e7f26f256e4f1ea21cf88790a4e501 |
| institution | Kabale University |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj-art-91e7f26f256e4f1ea21cf88790a4e5012025-02-09T08:04:57ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792024-08-0148452553410.18287/2412-6179-CO-1497Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an objectS.N. Khonina0A.P. Porfirev1P.A. Khorin2A.P. Dzyuba3D.P. Serafimovich4R.V. Skidanov5Image Processing Systems Institute, NRC "Kurchatov Institute"; Samara National Research UniversityImage Processing Systems Institute, NRC "Kurchatov Institute"; Samara National Research UniversitySamara National Research UniversitySamara National Research UniversityImage Processing Systems Institute, NRC "Kurchatov Institute"; Samara National Research UniversityImage Processing Systems Institute, NRC "Kurchatov Institute"; Samara National Research UniversityWe study the transformation of the analyzed object by a variety of spatial filters including bandpass, differential, radial filters, various types of vortex filters, and Hilbert filters. Advantages and disadvantages of different filters in terms of clarity and direction-invariance of edge extraction, as well as the energy efficiency are numerically demonstrated. Based on the results obtained, multi-order optical spatial vortex filters with different parameters are developed for simultaneously extracting contours of various object parts. We show that a multi-order filter makes it possible to form a set of images in one plane with a clearly defined contour, object corners and various parts of the contour. Numerical and experimental testing of 4- and 5-channel spatial vortex filters of various types was applied for test objects. A possibility of using the proposed filters to simultaneously highlight the edges of the entire image and various parts of the image in order to extract more features from the analyzed image is shown.https://www.computeroptics.ru/eng/KO/Annot/KO48-4/480407e.htmlspatial filteringedge detectionmulti-order optical filters |
| spellingShingle | S.N. Khonina A.P. Porfirev P.A. Khorin A.P. Dzyuba D.P. Serafimovich R.V. Skidanov Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object Компьютерная оптика spatial filtering edge detection multi-order optical filters |
| title | Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object |
| title_full | Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object |
| title_fullStr | Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object |
| title_full_unstemmed | Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object |
| title_short | Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object |
| title_sort | multi order optical spatial vortex filters for simultaneous contour extraction of various parts of an object |
| topic | spatial filtering edge detection multi-order optical filters |
| url | https://www.computeroptics.ru/eng/KO/Annot/KO48-4/480407e.html |
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