Brain-Inspired Robust Delineation Operator

Nicola Strisciuglio*, George Azzopardi, Nicolai Petkov

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

4 Citaten (Scopus)
54 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.
Originele taal-2English
TitelEuropean Conference of Computer Vision (ECCV) 2018
SubtitelWorkshop on Brain-inspired computer vision
Aantal pagina's11
ISBN van elektronische versie978-3-030-11015-4
ISBN van geprinte versie978-3-030-11014-7
StatusPublished - 2018
EvenementECCV 2018 : European Conference on Computer Vision - Munich, Germany
Duur: 8-sep.-201814-sep.-2018


ConferenceECCV 2018 : European Conference on Computer Vision

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