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Design of an Architecture for Optimizing Image Retrieval by using Genetic Algorithm

S. Selvam, S. Thabasukannan Published in Algorithms

Communications on Applied Electronics
Year of Publication: 2015
© 2015 by CAE Journal

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

	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}


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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CBIR, Genetic Algorithm, HARP Algorithm, Precision, Recall