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11th International Conference on Image Analysis and Processing (ICIAP'01)
Analysing and Simplifying Histograms Using Scale-Trees
Palermo, Italy
September 26-September 28
ISBN: 0-7695-1183-X
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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