BIROn - Birkbeck Institutional Research Online

    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.

    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.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): Leukocyte recognition, EM-Algorithm, PCA
    School: Birkbeck Schools and Departments > 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

    Statistics

    Downloads
    Activity Overview
    0Downloads
    94Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item