Multiscale detection of curvilinear structures in 2-D and 3-D image data

Th M. Koller, Guido Gerig, G. Szekely, D. Dettwiler

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper presents a novel, parameter-free technique for the segmentation and local description of line structures on multiple scales, both in 2-D and 3-D. The algorithm is based on a nonlinear combination of linear filters and searches for elongated, symmetric line structures, while suppressing the response to edges. The filtering process creates one sharp maximum across the line-feature profile and across scale-space. The multiscale response reflects local contrast and is independent of the local width. The filter is steerable in orientation and scale domain, leading to an efficient, parameter-free implementation. A local description is obtained that describes the contrast, the position of the center-line, the width, the polarity, and the orientation of the line. Examples of images from different application domains demonstrate the generic nature of the line segmentation scheme. The 3-D filtering is applied to magnetic resonance volume data in order to segment cerebral blood vessels.

    Original languageEnglish (US)
    Title of host publicationIEEE International Conference on Computer Vision
    Editors Anon
    PublisherIEEE
    Pages864-869
    Number of pages6
    StatePublished - 1995
    EventProceedings of the 5th International Conference on Computer Vision - Cambridge, MA, USA
    Duration: Jun 20 1995Jun 23 1995

    Other

    OtherProceedings of the 5th International Conference on Computer Vision
    CityCambridge, MA, USA
    Period6/20/956/23/95

    Fingerprint

    Blood vessels
    Magnetic resonance

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Koller, T. M., Gerig, G., Szekely, G., & Dettwiler, D. (1995). Multiscale detection of curvilinear structures in 2-D and 3-D image data. In Anon (Ed.), IEEE International Conference on Computer Vision (pp. 864-869). IEEE.

    Multiscale detection of curvilinear structures in 2-D and 3-D image data. / Koller, Th M.; Gerig, Guido; Szekely, G.; Dettwiler, D.

    IEEE International Conference on Computer Vision. ed. / Anon. IEEE, 1995. p. 864-869.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Koller, TM, Gerig, G, Szekely, G & Dettwiler, D 1995, Multiscale detection of curvilinear structures in 2-D and 3-D image data. in Anon (ed.), IEEE International Conference on Computer Vision. IEEE, pp. 864-869, Proceedings of the 5th International Conference on Computer Vision, Cambridge, MA, USA, 6/20/95.
    Koller TM, Gerig G, Szekely G, Dettwiler D. Multiscale detection of curvilinear structures in 2-D and 3-D image data. In Anon, editor, IEEE International Conference on Computer Vision. IEEE. 1995. p. 864-869
    Koller, Th M. ; Gerig, Guido ; Szekely, G. ; Dettwiler, D. / Multiscale detection of curvilinear structures in 2-D and 3-D image data. IEEE International Conference on Computer Vision. editor / Anon. IEEE, 1995. pp. 864-869
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