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Determination of Image Features for Content-based Image Retrieval using Interactive Genetic Algorithm

by Sharvari M. Waikar, K.b.khanchandani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 17
Year of Publication: 2014
Authors: Sharvari M. Waikar, K.b.khanchandani
10.5120/15722-4583

Sharvari M. Waikar, K.b.khanchandani . Determination of Image Features for Content-based Image Retrieval using Interactive Genetic Algorithm. International Journal of Computer Applications. 89, 17 ( March 2014), 13-17. DOI=10.5120/15722-4583

@article{ 10.5120/15722-4583,
author = { Sharvari M. Waikar, K.b.khanchandani },
title = { Determination of Image Features for Content-based Image Retrieval using Interactive Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 17 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number17/15722-4583/ },
doi = { 10.5120/15722-4583 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:29.443142+05:30
%A Sharvari M. Waikar
%A K.b.khanchandani
%T Determination of Image Features for Content-based Image Retrieval using Interactive Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 17
%P 13-17
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The development of content-based image retrieval (CBIR) system has become a significant research issue nowadays, as the digital image libraries and other multimedia databases are mounting very fast in the different areas. It is important to effectively and precisely retrieve the desired images from a large image database. Most of the approaches proposed are for finding the image features and some of the approaches include the user's subjectivity and preferences in the image retrieval process. This paper explains mainly about the determination of the image features like color, texture, and edge for the content-based image retrieval system which uses the interactive genetic algorithm. The color feature is extracted by using mean and standard deviation, the texture feature is extracted by using gray level co- occurrence matrix (GLCM) and the edge features of an image are extracted by using the edge histogram descriptor (EHD). Here the term interactive genetic algorithm (IGA) helps to reach more close to the user's need and satisfaction of image retrieval.

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Index Terms

Computer Science
Information Sciences

Keywords

Content-based image retrieval (CBIR) color texture edge image features.

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