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.
Full text not available from this repository.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 Informatics |
| 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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