Automatic segmentation of diatom images

A.C. Jalba, J.B.T.M. Roerdink

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    4 Citaten (Scopus)
    2 Downloads (Pure)

    Samenvatting

    In this paper we present a segmentation technique based on tools from mathematical morphology which can be successfully used for automatic segmentation of diatom images. The proposed method belongs to the class of hybrid segmentation techniques, and is based on the morphological watershed from markers. The novelty of this method is the computation and selection of markers. A new connected operator is used to simplify the input image and to produce candidate marker regions. A further step which selects among these regions is carried out in order to produce the final markers as a label image, and a watershed process initiated from this image is applied on the gradient of the input image. In a post-processing step, the contours of the diatoms present in the resulting image (given as watershed lines) are extracted.
    Originele taal-2Engels
    TitelComputer Analysis of Images and Patterns (Proceedings 10th International Conference, CAIP 2003, Groningen, The Netherlands, August 25-27, 2003)
    RedacteurenN. Petkov, M.A. Westenberg
    Plaats van productieBerlin
    UitgeverijSpringer
    Pagina's329-336
    ISBN van geprinte versie3-540-40730-8
    DOI's
    StatusGepubliceerd - 2003

    Publicatie series

    NaamLecture Notes in Computer Science
    Volume2756
    ISSN van geprinte versie0302-9743

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