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Analysing and Simplifying Histograms Using Scale-Trees
Palermo, Italy September 26-September 28
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.2001.95698911th International Conference on Imag ...
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Stuart Gibson, Richard Harvey, "Analysing and Simplifying Histograms Using Scale-Trees," Image Analysis and Processing, International Conference on, pp. 0084, 11th International Conference on Image Analysis and Processing (ICIAP'01), 2001.
 
 
BibTex
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@article{ 10.1109/ICIAP.2001.956989,
author = {Stuart Gibson and Richard Harvey},
title = {Analysing and Simplifying Histograms Using Scale-Trees},
journal ={Image Analysis and Processing, International Conference on},
volume = {0},
year = {2001},
isbn = {0-7695-1183-X},
pages = {0084},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIAP.2001.956989},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Image Analysis and Processing, International Conference on
TI - Analysing and Simplifying Histograms Using Scale-Trees
SN - 0-7695-1183-X
SP
EP
A1 - Stuart Gibson,
A1 - Richard Harvey,
PY - 2001
VL - 0
JA - Image Analysis and Processing, International Conference on
ER -
 
Stuart Gibson, University of East Anglia
Richard Harvey, University of East Anglia
Abstract: A new method for analysing image histograms is introduced. The technique decomposes a histogram into probability level sets. The relationships between these level sets are encoded using a tree. The tree has fewer nodes than the histogram and so is a compressed feature. When used in image retrieval experiments the tree is shown to have a performance that is superior to many methods and no worse than the best alternatives. The tree is efficient because it can be built using a computationally efficient algorithm known as a sieve.
Citation:
Stuart Gibson, Richard Harvey, "Analysing and Simplifying Histograms Using Scale-Trees," iciap, pp.0084, 11th International Conference on Image Analysis and Processing (ICIAP'01), 2001
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