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Towards more adequate colour histograms for in-body images
A Sousa1, M Dinis-Ribeiro, M Areia
1Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre, 1021/1055, 4169 - 007, Portugal. andresousa@dcc.fc.up.pt
Abstract:
Although there is a growing number of scientific papers describing classification of in-body images, most of it is based on traditional colour histograms. In this paper we explain why these might not be the most adequate visual features for in-body image classification. Based on a colour dynamic range maximization criterion, we propose a methodology for creating more adequate colour histograms, testing it on a vital-stained magnification endoscopy scenario.
