The Classification Gradient

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2006Publisher:IEEEJournal:18th International Conference on Pattern Recognition (ICPR'06)

Authors: Vassili A. Kovalev; Maria Petrou;

doi: 10.1109/icpr.2006.1116

The Classification Gradient

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Abstract

We propose a method that uses bootstraping to classify the pixles in the two halves of a sliding window, assuming that if there is a real image boundary separating the two halves, the pixels in the two halves will be classified in two separate classes. The accuracy of the classification is used as a local "gradient". High values of this gradient allow us to detect weak statistical borders in 2D and 3D images.

Related Organizations

University of Surrey
United Kingdom
Imperial College London
United Kingdom

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