Leukocyte Recognition Using EM-Algorithm

Authors:
Mario Chirinos Colunga;Oscar Sánchez Siordia;Stephen J. Maybank
Affiliations:
Department of Computer Science and Information Systems, Birkbeck, University of London, London WC1E 7HX;Centro Nacional de Investigación y Desarrollo Tecnológico (CENIDET) Cuernavaca, Morelos, México;Department of Computer Science and Information Systems, Birkbeck, University of London, London WC1E 7HX
Venue:
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Year:
2009

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Abstract

This document describes a method for classifying images of blood cells. Three different classes of cells are used: Band Neutrophils, Eosinophils and Lymphocytes. The image pattern is projected down to a lower dimensional sub space using PCA; the probability density function for each class is modeled with a Gaussian mixture using the EM-Algorithm. A new cell image is classified using the maximum a posteriori decision rule.