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 conferenceObject |
URI: | wscg.zcu.cz/WSCG2018/!!_CSRN-2802.pdf http://hdl.handle.net/11025/34645 |
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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Tereshchenko.pdf | Plný text | 1,01 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/34645
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