Title: Method of detection similar elements in textures with irregular structure
Authors: Tereshchenko, Vasyl
Tereshchenko, Yaroslav
Citation: WSCG '2018: short communications proceedings: The 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic May 28 - June 1 2018, p. 1-6.
Issue Date: 2018
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2018/!!_CSRN-2802.pdf
ISBN: 978-80-86943-41-1
ISSN: 2464-4617
Keywords: rozpoznání vzoru;opakující se prvky;heterogenní struktura obrazu;počítačové vidění;strojové učení
Keywords in different language: pattern recognition;repetitive elements;heterogeneous image structure;computer vision;machine learning
Abstract: We consider the problem of repetitive elements recognition with heterogeneous image texture. The complexity of solving problems from this class is connected to obtaining precise solution that is sensitive to image with irregular texture. The accuracy depends on correctness of original element selection from which the searching process will start. To solve the problem we propose new synthetic approach that combines statistical methods and machine learning method that allows obtaining resistant and accurate solution. The results of this algorithm are used for detection of reptile skin structure.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2018: Short Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/34645

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