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An Efficient Approach for Content Based Image Retrieval (Colour&Texture) by Wavelet & Gabor

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IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012)
© 2012 by IJCA Journal
ncipet - Number 4
Year of Publication: 2012
Authors:
Swati V. Sakhare
Vrushali G. Nasre

Swati V Sakhare and Vrushali G Nasre. Article: An Efficient Approach for Content Based Image Retrieval (Colour&Texture) by Wavelet & Gabor. IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012) ncipet(4):29-32, March 2012. Full text available. BibTeX

@article{key:article,
	author = {Swati V. Sakhare and Vrushali G. Nasre},
	title = {Article: An Efficient Approach for Content Based Image Retrieval (Colour&Texture) by Wavelet & Gabor},
	journal = {IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012)},
	year = {2012},
	volume = {ncipet},
	number = {4},
	pages = {29-32},
	month = {March},
	note = {Full text available}
}

Abstract

Advances in data storage and image acquisition technologies have enabled the creation of large image datasets. In this scenario, it is necessary to develop appropriate information systems to efficiently manage these collections. The most common approaches use Content- Based Image Retrieval (CBIR).The goal of such CBIR systems is to support image retrieval based on content e.g., shape, color, texture. Retrieval of images based on visual features such as color, texture and shape have proven to have its own set of limitations under different conditions. In this paper we propose a novel method with highly accurate and retrieval efficient approach which will work on large image database with varied contents and background.

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