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Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object
S.N. Khonina 1,2, A.P. Porfirev 1,2, P.A. Khorin 1, A.P. Dzyuba 1, D.P. Serafimovich 1,2, R.V. Skidanov 1,2

1 Samara National Research University, 443086, Samara, Russia, Moskovskoye Shosse 34;
2 Image Processing Systems Institute, NRC "Kurchatov Institute",
443001, Samara, Russia, Molodogvardeyskaya 151

 PDF, 4310 kB

DOI: 10.18287/2412-6179-CO-1497

Pages: 525-534.

Abstract:
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.

Keywords:
spatial filtering, edge detection, multi-order optical filters.

Citation:
Khonina SN, Porfirev AP, Khorin PA, Dzyuba AP, Serafimovich DP, Skidanov RV. Multi-order optical spatial vortex filters for simultaneous contour extraction of various parts of an object. Computer Optics 2024; 48(4): 525-534. DOI: 10.18287/2412-6179-CO-1497.

Acknowledgements:
This study was conducted within the scientific program of the National Center for Physics and Mathematics, section #1 "National Center for Supercomputer Architecture Research. Stage 2023-2025" in part of numerical results and within the state assignment of the National Research Center “Kurchatov Institute” in theoretical part.

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