Content-based image retrieval using the combination of the fast wavelet transformation and the colour histogram
Inhaltsverzeichnis
Referenz
M. Singha, K. Hemachandran, A. Paul: Content-based image retrieval using the combination of the fast wavelet transformation and the colour histogram Image Processing, IET, vol. 6 issue. 9, pp. 1221-1226, December 2012
DOI
http://dx.doi.org/10.1049/iet-ipr.2011.0453
Abstract
In this study, an attempt has been made to study an image retrieval technique based on the combination of Haar wavelet transformation using lifting scheme and the colour histogram (CH) called lifting wavelet-based colour histogram. The colour feature is described by the CH, which is translation and rotation invariant. The Haar wavelet transformation is used to extract the texture features and the local characteristics of an image, to increase the accuracy of the retrieval system. The lifting scheme reduces the processing time to retrieve images. The experimental results indicate that the proposed technique outperforms the other schemes, in terms of the average precision, the average recall and the total average precision/recall.
Extended Abstract
Bibtex
@ARTICLE{6407281,
author={M. Singha and K. Hemachandran and A. Paul},
journal={IET Image Processing},
title={Content-based image retrieval using the combination of the fast wavelet transformation and the colour histogram},
year={2012},
volume={6},
number={9},
pages={1221-1226},
keywords={Haar transforms;content-based retrieval;feature extraction;image colour analysis;image retrieval;wavelet transforms;Haar wavelet transformation;colour feature;content-based image retrieval;image retrieval technique;lifting scheme;lifting wavelet-based colour histogram;processing time;retrieval system;rotation invariant;texture feature extraction;translation invariant},
doi={10.1049/iet-ipr.2011.0453},
url={http://dx.doi.org/10.1049/iet-ipr.2011.0453 http://de.evo-art.org/index.php?title=Content-based_image_retrieval_using_the_combination_of_the_fast_wavelet_transformation_and_the_colour_histogram },
ISSN={1751-9659},
month={December},
}
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