Paper
6 November 2019 Adaptive oriented filtration of digital images in the spatial domain
Author Affiliations +
Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 111761A (2019) https://doi.org/10.1117/12.2537165
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland
Abstract
This article describes the developed method of adaptive-oriented filtration of digital images in the spatial domain, which is designed to remove noise and enhance the visual quality of images. as the kernel of filter an oriented two-dimensional gaussian distribution is used. as a result of this filtration, the contours of the images are blurred slightly, since the filtration is mainly carried out along the contour direction, that is, the filter parameters are adapted to each image region. the proposed method of image filtering is implemented in Matlab.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Serhiy V. Balovsyak, Oleksandr V. Derevyanchuk, Igor M. Fodchuk, Olga P. Kroitor, Khrystyna S. Odaiska, Olexiy O. Pshenychnyi, Andrzej Kotyra, and Akmaral Abisheva "Adaptive oriented filtration of digital images in the spatial domain", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761A (6 November 2019); https://doi.org/10.1117/12.2537165
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KEYWORDS
Image filtering

Digital filtering

Gaussian filters

Visualization

Convolution

Image quality

Image segmentation

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