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. © 2009 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Colunga, M. C., Siordia, O. S., & Maybank, S. J. (2009). Leukocyte recognition using EM-algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5845 LNAI, pp. 545–555). https://doi.org/10.1007/978-3-642-05258-3_48
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