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Unsupervised classification of pixels in color images by hierarchical analysis of bi-dimensional histograms

Abstract

This paper presents a new unsupervised algorithm for classifying pixels in color images, by means of a hierarchical analysis of color bi-dimensional histograms. The algorithm proceeds in two steps : a learning step and a decision step. It provides a number of classes which is function of an adjustable parameter (threshold S) depending on the precision required in terms of differenciation between color

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