Detail publikace

Image Search Using Similarity Measures Based on Circular Sectors

MAŠEK, J. BURGET, R. POVODA, L. HARVÁNEK, M.

Originální název

Image Search Using Similarity Measures Based on Circular Sectors

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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%.

Klíčová slova

CBIR; circular sectors; cross-validation; image features; image processing; image similarity; optimization

Autoři

MAŠEK, J.; BURGET, R.; POVODA, L.; HARVÁNEK, M.

Rok RIV

2015

Vydáno

6. 11. 2015

Místo

Dubaj, Spojené arabské emiráty

ISBN

978-1-921987-43-4

Kniha

Computer Science & Information Technology (CS & IT)

ISSN

2231-5403

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",
  pages="241--251",
  address="Dubaj, Spojené arabské emiráty",
  doi="10.5121/csit.2015.51519",
  isbn="978-1-921987-43-4",
  issn="2231-5403"
}