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Design of an Architecture for Optimizing Image Retrieval by using Genetic Algorithm
S.selvam and S.thabasukannan. Article: Design of an Architecture for Optimizing Image Retrieval by using Genetic Algorithm. Communications on Applied Electronics 1(2):1-5, January 2015. Published by Foundation of Computer Science, New York, USA. BibTeX
@article{key:article, author = {S.selvam and S.thabasukannan}, title = {Article: Design of an Architecture for Optimizing Image Retrieval by using Genetic Algorithm}, journal = {Communications on Applied Electronics}, year = {2015}, volume = {1}, number = {2}, pages = {1-5}, month = {January}, note = {Published by Foundation of Computer Science, New York, USA} }
Abstract
Image retrieval plays a vital role in image processing. The main aim of this paper is to build more generalized CBIR system which is increased the searching ability and to improve the retrieval accuracy. The proposed method is experimental and analyzed with large database. The result show that the architecture of new CBIR system shown good performance in speed and reducing the computational time.
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Keywords
CBIR, Genetic Algorithm, HARP Algorithm, Precision, Recall