Please use this identifier to cite or link to this item:
https://dspace.ncfu.ru/handle/20.500.12258/13665
Title: | Method of oriented contour detection on image using lorentz function |
Authors: | Lyakhov, P. A. Ляхов, П. А. Abdulsalyamova, A. S. Абдулсалямова, А. Ш. Kiladze, M. R. Киладзе, М. Р. |
Keywords: | Contour detection;Digital filter;Digital image processing;Lorentz function;Convolution;Convolutional neural networks;Image processing;Multilayer neural networks;Gabor filters |
Issue Date: | 2020 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Lyakhov, P.A., Abdulsalyamova, A.S., Kiladze, M.R., Kaplun, D.I., Voznesensky, A.S. Method of oriented contour detection on image using lorentz function // 2020 9th Mediterranean Conference on Embedded Computing, MECO 2020. - 2020. - Номер статьи 9134224 |
Series/Report no.: | 2020 9th Mediterranean Conference on Embedded Computing, MECO 2020 |
Abstract: | The paper proposes a new method of oriented contour detection on images using the Lorentz function. The first distinguishing feature of the development is the ability to adjust the size of the filter mask to be able to vary the distance between the analyzed differences at the boundaries of the analyzed image areas. The second feature is the ability to pre-set the angle of rotation of the coordinate plane, which determines the orientation of the filter. In addition, the proposed filter has a minimum number of zones with different signs, which distinguishes it from the known Gabor filters. The proposed method can be used in various fields of digital image processing, but the most promising, in our opinion, is the use of the proposed filters in convolutional neural networks instead of convolutional layer neurons that are responsible for distinguishing features |
URI: | http://hdl.handle.net/20.500.12258/13665 |
Appears in Collections: | Статьи, проиндексированные в SCOPUS, WOS |
Files in This Item:
File | Description | Size | Format | |
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scopusresults 1344 .pdf Restricted Access | 972.9 kB | Adobe PDF | View/Open | |
WoS 1022 .pdf Restricted Access | 259.97 kB | Adobe PDF | View/Open |
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