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MAŠEK, J. BURGET, R. POVODA, L. HARVÁNEK, M.
Original Title
Image Search Using Similarity Measures Based on Circular Sectors
Type
conference paper
Language
English
Original Abstract
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%.
Keywords
CBIR; circular sectors; cross-validation; image features; image processing; image similarity; optimization
Authors
MAŠEK, J.; BURGET, R.; POVODA, L.; HARVÁNEK, M.
RIV year
2015
Released
6. 11. 2015
Location
Dubaj, Spojené arabské emiráty
ISBN
978-1-921987-43-4
Book
Computer Science & Information Technology (CS & IT)
2231-5403
Pages from
241
Pages to
251
Pages count
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", pages="241--251", address="Dubaj, Spojené arabské emiráty", doi="10.5121/csit.2015.51519", isbn="978-1-921987-43-4", issn="2231-5403" }