Robustness of two methods for segmenting salient features in screening mammograms

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    6 Citations (Scopus)

    Abstract

    The performance of two image segmentation methods are compared according to robustness of the segmentation to image distortion. This criterion is crucial for temporal analysis of screening mammograms where natural changes in the breast plus inherent deformation of soft tissue during image acquisition result in severe image registration problems. A method based on minimum spanning trees (MST) is found to be more robust to the distortions studied than a method based on adaptive pyramids (AP). Although segmentation leads to great differences in segmentation in distorted images for many components of low saliency, salient components (those of primary interest) are found to be segmented consistently regardless of distortion.
    Original languageEnglish
    Title of host publicationProceedings
    Subtitle of host publicationDigital Image Computing Techniques and Applications 9th Biennial Conference of the Australian Pattern Recognition Society
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages112-117
    Number of pages6
    ISBN (Print)0-7695-3067-2 , 978-0-7695-3067-3
    DOIs
    Publication statusPublished - 3 Dec 2007
    Event9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA) - Adelaide, Australia
    Duration: 3 Dec 20075 Dec 2007
    Conference number: 9th

    Conference

    Conference9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA)
    Abbreviated titleDICTA 2007
    CountryAustralia
    CityAdelaide
    Period3/12/075/12/07

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