Brain-inspired robust delineation operator

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Brain-inspired robust delineation operator
Συγγραφείς: Strisciuglio, Nicola, Azzopardi, George, Petkov, Nicolai, 15th European Conference on Computer Vision (ECCV) Workshops
Στοιχεία εκδότη: Computer Vision Foundation
Έτος έκδοσης: 2018
Συλλογή: University of Malta: OAR@UM / L-Università ta' Malta
Θεματικοί όροι: Image processing -- Data processing, Computer vision -- Technological innovations, Retinal vessels -- Imaging, Gardening -- Automation, Neural networks (Computer science) -- Mathematical models
Περιγραφή: 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
Τύπος εγγράφου: conference object
Γλώσσα: English
Relation: https://www.um.edu.mt/library/oar/handle/123456789/132748
Διαθεσιμότητα: 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
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