Multilevel surround inhibition a biologically inspired contour detector - art. no. 649702

Giuseppe Papari*, Patrizio Campisi, Nicolai Petkov

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    Canny edge detector is based both on local and global image analysis, present in the gradient computation and connectivity-related hysteresis thresholding, respectively. This contribution proposes a generalization of these ideas. Instead of the sole gradient magnitude, we consider several local statistics, to take into account how much texture is present around each pixel. This information is used in biologically inspired surround inhibition of texture. Global analysis is generalized by introducing a long range connectivity analysis. We demonstrate the effectiveness of our approach by extensive experimentation.

    Original languageEnglish
    Title of host publicationImage Processing: Algorithms and Systems V
    EditorsJT Astola, KO Egiazarian, ER Dougherty
    Place of PublicationBELLINGHAM
    PublisherSPIE - INT SOC OPTICAL ENGINEERING
    Pages49702-49702
    Number of pages11
    ISBN (Print)978-0-8194-6610-5
    Publication statusPublished - 2007
    EventConference on Image Processing - Algorithms and Systems V - , Canada
    Duration: 29-Jan-200730-Jan-2007

    Publication series

    NamePROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
    PublisherSPIE-INT SOC OPTICAL ENGINEERING
    Volume6497
    ISSN (Print)0277-786X

    Other

    OtherConference on Image Processing - Algorithms and Systems V
    Country/TerritoryCanada
    Period29/01/200730/01/2007

    Keywords

    • RECEPTIVE-FIELD INHIBITION
    • EDGE-DETECTION
    • PERCEPTION

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