Academic Journal
A robust contour detection operator with combined push-pull inhibition and surround suppression
| Τίτλος: | A robust contour detection operator with combined push-pull inhibition and surround suppression |
|---|---|
| Συγγραφείς: | Melotti, Damiano, Heimbach, Kevin, Rodríguez-Sánchez, Antonio, Strisciuglio, Nicola, Azzopardi, George |
| Στοιχεία εκδότη: | Elsevier |
| Έτος έκδοσης: | 2020 |
| Συλλογή: | University of Malta: OAR@UM / L-Università ta' Malta |
| Θεματικοί όροι: | Computer vision -- Mathematical models, Image processing -- Mathematical models, Pattern recognition systems -- Data processing, Neural networks (Computer science) |
| Περιγραφή: | Contour detection is a salient operation in many computer vision applications as it ex- tracts features that are important for distinguishing objects in scenes. It is believed to be a primary role of simple cells in visual cortex of the mammalian brain. Many of such cells receive push-pull inhibition or surround suppression. We propose a computational model that exhibits a combination of these two phenomena. It is based on two existing models, which have been proven to be very effective for contour detection. In particular, we introduce a brain-inspired contour operator that combines push-pull and surround inhibition. It turns out that this combination results in a more effective contour detector, which sup- presses texture while keeping the strongest responses to lines and edges, when compared to existing models. The proposed model consists of a Combination of Receptive Field (or CORF) model with push-pull inhibition, extended with surround suppression. We demonstrate the effectiveness of the proposed approach on the RuG and Berkeley benchmark data sets of 40 and 500 images, respectively. The proposed push-pull CORF operator with surround suppression outperforms the one without suppression with high statistical significance. ; peer-reviewed |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | English |
| Relation: | https://www.um.edu.mt/library/oar/handle/123456789/132641 |
| DOI: | 10.1016/j.ins.2020.03.026 |
| Διαθεσιμότητα: | https://www.um.edu.mt/library/oar/handle/123456789/132641 https://doi.org/10.1016/j.ins.2020.03.026 |
| 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. |
| Αριθμός Καταχώρησης: | edsbas.C3EC712B |
| Βάση Δεδομένων: | BASE |
καταχωρήστε σχόλιο πρώτοι!