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Brain-Inspired Robust Delineation Operator

  • Nicola StrisciuglioEmail author
  • George Azzopardi
  • Nicolai Petkov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11131)

Abstract

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.

Keywords

COSFIRE filter Delineation push-pull inhibition 

Notes

Acknowledgment

This research received funding from the EU H2020 research and innovation framework (grant no. 688007, TrimBot2020).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Nicola Strisciuglio
    • 1
    Email author
  • George Azzopardi
    • 1
  • Nicolai Petkov
    • 1
  1. 1.Bernoulli InstituteUniversity of GroningenGroningenThe Netherlands

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