Brain-Inspired Robust Delineation Operator

Nicola Strisciuglio*, George Azzopardi, Nicolai Petkov

*Corresponding author for this work

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

4 Citations (Scopus)
10 Downloads (Pure)


In this paper we present a novel filter, based on the existing COSFIRE filter, for the delineation of patterns of interest. It includes a mechanism of push-pull inhibition that improves robustness to noise in terms of spurious texture. Push-pull inhibition is a phenomenon that is observed in neurons in area V1 of the visual cortex, which suppresses the response of certain simple cells for stimuli of preferred orientation but of non-preferred contrast. This type of inhibition allows for sharper detection of the patterns of interest and improves the quality of delineation especially in images with spurious texture.

We performed experiments on images from different applications, namely the detection of rose stems for automatic gardening, the delineation of cracks in pavements and road surfaces, and the segmentation of blood vessels in retinal images. Push-pull inhibition helped to improve results considerably in all applications.
Original languageEnglish
Title of host publicationEuropean Conference of Computer Vision (ECCV) 2018
Subtitle of host publicationWorkshop on Brain-inspired computer vision
Number of pages11
ISBN (Electronic)978-3-030-11015-4
ISBN (Print)978-3-030-11014-7
Publication statusPublished - 2018
EventECCV 2018 : European Conference on Computer Vision - Munich, Germany
Duration: 8-Sep-201814-Sep-2018


ConferenceECCV 2018 : European Conference on Computer Vision


  • brain-inspired
  • delineation operator

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