Academic Journal
View in EDS

A robust contour detection operator with combined push-pull inhibition and surround suppression

Bibliographic Details
Title: A robust contour detection operator with combined push-pull inhibition and surround suppression
Authors: Melotti, Damiano, Heimbach, Kevin, Rodríguez-Sánchez, Antonio, Strisciuglio, Nicola, Azzopardi, George
Publisher Information: Elsevier
Publication Year: 2020
Collection: University of Malta: OAR@UM / L-Università ta' Malta
Subject Terms: Computer vision -- Mathematical models, Image processing -- Mathematical models, Pattern recognition systems -- Data processing, Neural networks (Computer science)
Description: 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
Document Type: article in journal/newspaper
Language: English
Relation: https://www.um.edu.mt/library/oar/handle/123456789/132641
DOI: 10.1016/j.ins.2020.03.026
Availability: 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.
Accession Number: edsbas.C3EC712B
Database: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://www.um.edu.mt/library/oar/handle/123456789/132641#
    Name: EDS - BASE (ns324271)
    Category: fullText
    Text: View record from BASE
Header DbId: edsbas
DbLabel: BASE
An: edsbas.C3EC712B
RelevancyScore: 894
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 893.994323730469
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A robust contour detection operator with combined push-pull inhibition and surround suppression
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Melotti%2C+Damiano%22">Melotti, Damiano</searchLink><br /><searchLink fieldCode="AR" term="%22Heimbach%2C+Kevin%22">Heimbach, Kevin</searchLink><br /><searchLink fieldCode="AR" term="%22Rodríguez-Sánchez%2C+Antonio%22">Rodríguez-Sánchez, Antonio</searchLink><br /><searchLink fieldCode="AR" term="%22Strisciuglio%2C+Nicola%22">Strisciuglio, Nicola</searchLink><br /><searchLink fieldCode="AR" term="%22Azzopardi%2C+George%22">Azzopardi, George</searchLink>
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: Elsevier
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2020
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: University of Malta: OAR@UM / L-Università ta' Malta
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Computer+vision+--+Mathematical+models%22">Computer vision -- Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing+--+Mathematical+models%22">Image processing -- Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems+--+Data+processing%22">Pattern recognition systems -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+networks+%28Computer+science%29%22">Neural networks (Computer science)</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://www.um.edu.mt/library/oar/handle/123456789/132641
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1016/j.ins.2020.03.026
– Name: URL
  Label: Availability
  Group: URL
  Data: https://www.um.edu.mt/library/oar/handle/123456789/132641<br />https://doi.org/10.1016/j.ins.2020.03.026
– Name: Copyright
  Label: Rights
  Group: Cpyrght
  Data: 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.
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.C3EC712B
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.C3EC712B
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ins.2020.03.026
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Computer vision -- Mathematical models
        Type: general
      – SubjectFull: Image processing -- Mathematical models
        Type: general
      – SubjectFull: Pattern recognition systems -- Data processing
        Type: general
      – SubjectFull: Neural networks (Computer science)
        Type: general
    Titles:
      – TitleFull: A robust contour detection operator with combined push-pull inhibition and surround suppression
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Melotti, Damiano
      – PersonEntity:
          Name:
            NameFull: Heimbach, Kevin
      – PersonEntity:
          Name:
            NameFull: Rodríguez-Sánchez, Antonio
      – PersonEntity:
          Name:
            NameFull: Strisciuglio, Nicola
      – PersonEntity:
          Name:
            NameFull: Azzopardi, George
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
ResultId 1