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Detail publikačního výsledku
MAŠEK, J.; BURGET, R.; POVODA, L.; HARVÁNEK, M.
Originální název
Image Search Using Similarity Measures Based on Circular Sectors
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
With growing number of stored image data, image search and image similarity problem become more and more important. The answer can be solved by Content-Based Image Retrieval systems. This paper deals with an image search using similarity measures based on circular sectors method. The method is inspired by human eye functionality. The main contribution of the paper is a modified method that increases accuracy for about 8% in comparison with original approach. Here proposed method has used HSB colour model and median function for feature extraction. The original approach uses RGB colour model with mean function. Implemented method was validated on 10 image categories where overall average precision was 67%.
Anglický abstrakt
Klíčová slova
CBIR; circular sectors; cross-validation; image features; image processing; image similarity; optimization
Klíčová slova v angličtině
Autoři
Rok RIV
2016
Vydáno
06.11.2015
Místo
Dubaj, Spojené arabské emiráty
ISBN
978-1-921987-43-4
Kniha
Computer Science & Information Technology (CS & IT)
ISSN
2231-5403
Periodikum
Computer science and information technology
Stát
Indická republika
Strany od
241
Strany do
251
Strany počet
11
BibTex
@inproceedings{BUT118127, author="Jan {Mašek} and Radim {Burget} and Lukáš {Povoda} and Martin {Harvánek}", title="Image Search Using Similarity Measures Based on Circular Sectors", booktitle="Computer Science & Information Technology (CS & IT)", year="2015", journal="Computer science and information technology", pages="241--251", address="Dubaj, Spojené arabské emiráty", doi="10.5121/csit.2015.51519", isbn="978-1-921987-43-4" }