The role of non-CRF inhibition in contour detection

C. Grigorescu, N. Petkov, M.A. Westenberg

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

    Abstract

    We propose a biologically motivated computational step, called non-classical receptive field (non-CRF) inhibition, to improve the performance of contour detectors. Non-CRF inhibition is exhibited by 80% of the orientation selective neurons in the primary visual cortex of macaque monkeys and has been demonstrated to influence the visual perception of man as well. We introduce an image processing operator, the bar cell operator, which consists of a Gabor energy operator augmented with non-CRF inhibition. This operator responds strongly to isolated lines, edges and contours, but exhibits a weaker or no response to edges that make part of texture. We evaluate the contour detection performance of the proposed operator for images of natural scenes with associated ground truth edge maps. The bar cell operator consistently outperforms the Canny edge detector, mostly due to a reduced number of false positives.
    Original languageEnglish
    Title of host publicationProceedings of the 10th international conference in central Europe on computer graphics, visualization and computer vision (WSCG 2002),4-8 february 2002, Plzeň, Czech Republic
    Pages197-204
    Publication statusPublished - 2003

    Publication series

    NameJournal of WSCG
    Volume11
    ISSN (Print)1213-6972

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