Fast restoration of a blurred image obtained by a horizontally rotating camera

Kozak, A. V.; Steinberg, Boris Ya.; Steinberg, Oleg

doi:10.18287/2412-6179-2018-42-6-1046-1053

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Global symptoms determination approach based on fuzzy logic designed to fix this problem. Such an approach in conjunction with image processing algorithms that allows to search objects on images [8,9] or correct images [10] obtained for example from unmanned aerial vehicles could be the basis of a system for automatically determining the forest plantations health state.…”

Section: Introductionmentioning

confidence: 99%

Tree state category identification for boreal area conifers using global features estimation by fuzzy logic approach

Pyataev¹,

Redkin²,

Pyataeva

2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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Tree state category identification allows forecasting forest development in the surveyed area. Tree state category determination process based on global features is subjective and uses concepts such as the degree of density of the crown, the degree of drying of branches, the fall of the bark, the color of the needles, etc. For global features estimation, fuzzy logic is used. To formalize these subjective concepts, linguistic variables and their terms were extracted. The characteristic functions describing the terms were piecewise linear and in this work were approximated by Gaussian functions. Such an approach in conjunction with image processing algorithms that allows to search objects on images or correct images obtained for example from unmanned aerial vehicles could be the basis of a system for automatically determining the forest plantations health state and improve the inspection quality. The study was conducted for coniferous species of the boreal zone. The mathematical model built in this work allows reducing the cost of automation of calculations related to the processing of the data obtained by forest pathological surveys, despite the fact that the accuracy value of fuzzy classification after the approximation of the membership functions remained at the same level.

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Section: Introductionmentioning

confidence: 99%

Tree state category identification for boreal area conifers using global features estimation by fuzzy logic approach

Pyataev¹,

Redkin²,

Pyataeva

2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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An algorithm for the restoration of blurred image obtained with a rotating camera tilted to the horizon

Kozak

Steinberg

2020

Computer Optics

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This work is a continuation of the authors’ previous publications, in which the restoration of images obtained with a horizontally rotating camera was considered. In this paper, a mathematical model is constructed for reconstructing blurred images obtained with a camera rotating in the horizontal plane and having its optical axis tilted at an angle to the horizon. The method of image restoration involves constructing a strip of spherical panorama from the original images. Results of numerical experiments that confirm the good quality of the presented image recovery method and the high performance of the developed algorithm are presented.

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Fast restoration of a blurred image obtained by a horizontally rotating camera

Cited by 2 publications

References 6 publications

Tree state category identification for boreal area conifers using global features estimation by fuzzy logic approach

Tree state category identification for boreal area conifers using global features estimation by fuzzy logic approach

An algorithm for the restoration of blurred image obtained with a rotating camera tilted to the horizon

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