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Leukocyte recognition using EM-algorithm

Colunga, M.C. and Siordia, O.S. and Maybank, Stephen J. (2009) Leukocyte recognition using EM-algorithm. In: Hernandez Aguirre, A. and Monroy Borja, R. and Reyes Garcia, C.A. (eds.) MICAI 2009: Advances in Artificial Intelligence. Lecture Notes in Computer Science 5845. Berlin, Germany: Springer, pp. 545-555. ISBN 9783642052576.

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Official URL: http://dx.doi.org/10.1007/978-3-642-05258-3_48

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.

Item Type: Book Section
Keyword(s) / Subject(s): Leukocyte recognition, EM-Algorithm, PCA
School or Research Centre: Birkbeck Schools and Research Centres > School of Business, Economics & Informatics > Computer Science and Information Systems
Depositing User: Administrator
Date Deposited: 06 Nov 2012 10:47
Last Modified: 13 May 2013 14:47
URI: http://eprints.bbk.ac.uk/id/eprint/5564

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