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This article is cited in 4 scientific papers (total in 4 papers)
IMAGE PROCESSING, PATTERN RECOGNITION
On a problem of numerical sectioning in ophthalmology
A. V. Razgulina, N. G. Iroshnikovb, A. V. Larichevb, S. D. Pavlova, T. E. Romanenkoa a Lomonosov Moscow State University, Computational Mathematics and Cybernetics Faculty, Moscow, Russia
b Lomonosov Moscow State University, Physics Faculty, Moscow, Russia
Abstract:
We consider a problem of eye-fundus image reconstruction from different-depth fundus sections based on an image stack, with the images obtained via imaging system's fast refocusing as superposition of 3D object sections and blurred images of adjacent-depth sections. An implicit iterative regularization method in the Fourier plane is used for 3D deconvolution. The results of mathematical modeling have demonstrated that the numerical sectioning shows promise when processing ophthalmological images distorted by various types of noise.
Keywords:
sectioning, 3D deconvolution, convolution, fundus, iterative regularization method.
Received: 15.10.2015 Revised: 01.12.2015
Citation:
A. V. Razgulin, N. G. Iroshnikov, A. V. Larichev, S. D. Pavlov, T. E. Romanenko, “On a problem of numerical sectioning in ophthalmology”, Computer Optics, 39:5 (2015), 777–786
Linking options:
https://www.mathnet.ru/eng/co44 https://www.mathnet.ru/eng/co/v39/i5/p777
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Abstract page: | 295 | Full-text PDF : | 105 | References: | 72 |
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