• Brain-inspired robust delineat...

Treffer: Brain-inspired robust delineation operator

Title:
Brain-inspired robust delineation operator
Authors:
Strisciuglio, Nicola, Azzopardi, George, Petkov, Nicolai, 15th European Conference on Computer Vision (ECCV) Workshops
Publisher Information:
Computer Vision Foundation
Publication Year:
2018
Collection:
University of Malta: OAR@UM / L-Università ta' Malta
Subject Terms:
Image processing -- Data processing, Computer vision -- Technological innovations, Retinal vessels -- Imaging, Gardening -- Automation, Neural networks (Computer science) -- Mathematical models
Document Type:
Konferenz conference object
Language:
English
Relation:
https://www.um.edu.mt/library/oar/handle/123456789/132748
Availability:
https://www.um.edu.mt/library/oar/handle/123456789/132748
https://openaccess.thecvf.com/content_eccv_2018_workshops/w17/html/Strisciuglio_Brain-inspired_robust_delineation_operator_ECCVW_2018_paper.html
Rights:
info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.
Accession Number:
edsbas.BBF2A3B8
Database:
BASE

Weitere Informationen

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. ; peer-reviewed