| Title: | Texture Spectral Similarity Criteria Comparison |
| Authors: | Havlícek, Michal Haindl, Michal |
| Citation: | WSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 100-106. |
| Issue Date: | 2023 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://hdl.handle.net/11025/54415 |
| ISBN: | 978-80-86943-32-9 |
| ISSN: | 2464–4617 (print) 2464–4625 (CD/DVD) |
| Keywords: | srovnání textur;modelování textur;načítání textur;klasifikace textur;získávání textur |
| Keywords in different language: | texture comparison;texture modeling;texture retrieval;texture classification |
| Abstract in different language: | Criteria capable of texture spectral similarity evaluation are presented and compared. From the fifteen evaluated criteria, only four criteria guarantee zero or minimal spectral ranking errors. Such criteria can support texture modeling algorithms by comparing the modeled texture with corresponding synthetic simulations. Another possi ble application is the development of texture retrieval, classification, or texture acquisition system. These criteria thoroughly test monotonicity and mutual correlation on specifically designed extensive monotonously degrading experiments. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG 2023: Full Papers Proceedings |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| E53-full.pdf | Plný text | 3,41 MB | Adobe PDF | View/Open |
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