Detail publikace

Image Search Using Similarity Measures Based on Circular Sectors

Originální název

Image Search Using Similarity Measures Based on Circular Sectors

Anglický název

Image Search Using Similarity Measures Based on Circular Sectors

Jazyk

en

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

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%.

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",
  annote="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%.",
  booktitle="Computer Science & Information Technology (CS & IT)",
  chapter="118127",
  doi="10.5121/csit.2015.51519",
  howpublished="print",
  year="2015",
  month="november",
  pages="241--251",
  type="conference paper"
}