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View all- (2015)A distance based time series classification frameworkInformation Systems10.1016/j.is.2015.02.00551:C(27-42)Online publication date: 1-Jul-2015
A new similarity measure for histograms applied to content-based retrieval of medical images
Pages 258 - 259
Abstract
This paper presents a new similarity measure to compare gray-level histograms, aiming at reducing both false positive and false negative results, in the context of medical images.
References
[1]
Felipe, J. C., A. J. M. Traina, and C. T. Jr. Global Warp Metric Distance: Boosting Content-based Image Retrieval through Histograms. in IEEE International Symposium on Multimedia (ISM2005). 2005. Irvine, CA, USA.
[2]
Keogh, E. Exact Indexing of Dynamic Time Warping. in 28th VLDB Conference. 2002. Hong Kong - China
[3]
Müller, H., et al., A review of content-based image retrieval systems in medical applications - clinical menefits and future directions. Int. Journal of Medical Informatics, 2004. 73: p. 1--23.
[4]
Traina, A. J. M., et al., Efficient Content-based Image Retrieval through Metric Histograms. World Wide Web Journal, 2003. 6(2): p. 157--185.
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- A new similarity measure for histograms applied to content-based retrieval of medical images
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Published: 23 April 2006
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View all- (2015)A distance based time series classification frameworkInformation Systems10.1016/j.is.2015.02.00551:C(27-42)Online publication date: 1-Jul-2015
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