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Image Retrieval System with Interactive Genetic Algorithm Using Distance

Mamta R. Nagpure1 , Suchita S. Mesakar2 , Sonali R. Raut3 , Vanita P.Lonkar4

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-12 , Page no. 109-113, Dec-2014

Online published on Dec 31, 2014

Copyright © Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar, “Image Retrieval System with Interactive Genetic Algorithm Using Distance,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.12, pp.109-113, 2014.

MLA Style Citation: Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar "Image Retrieval System with Interactive Genetic Algorithm Using Distance." International Journal of Computer Sciences and Engineering 2.12 (2014): 109-113.

APA Style Citation: Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar, (2014). Image Retrieval System with Interactive Genetic Algorithm Using Distance. International Journal of Computer Sciences and Engineering, 2(12), 109-113.

BibTex Style Citation:
@article{Nagpure_2014,
author = {Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar},
title = {Image Retrieval System with Interactive Genetic Algorithm Using Distance},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2014},
volume = {2},
Issue = {12},
month = {12},
year = {2014},
issn = {2347-2693},
pages = {109-113},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=345},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=345
TI - Image Retrieval System with Interactive Genetic Algorithm Using Distance
T2 - International Journal of Computer Sciences and Engineering
AU - Mamta R. Nagpure, Suchita S. Mesakar, Sonali R. Raut , Vanita P.Lonkar
PY - 2014
DA - 2014/12/31
PB - IJCSE, Indore, INDIA
SP - 109-113
IS - 12
VL - 2
SN - 2347-2693
ER -

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Abstract

Digital images have produced a large amount of image data in various areas, such as entertainment, fashion design, education, graphics, medicine, industry, etc. However in order to effectively retrieve the desired images from a large image database, a content-based image retrieval (CBIR) system has become an important research issue to be developed. As no. of the proposed approaches emphasize on finding the best representation for different image features. Because of that a user-oriented mechanism for CBIR method based on an interactive genetic algorithm (IGA) is developed. Color, texture and edge features of an image are extracted quickly using content-based image retrieval (CBIR) system with IGA. The mean value, the standard deviation, and the image bitmap of a color image are used as the features for retrieval. In addition to that entropy based on the gray level co-occurrence matrix and the edge histogram of an image is also considered. The experiments show that the method developed is very fast and retrieval performance achieved 100%.

Key-Words / Index Term

Interactive Genetic Algorithm (IGA), Content Based Image Retrieval (CBIR), Gray Level Concurrence Matrix (GLCM)

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