Cortical-inspired Wilson–Cowan-type equations for orientation-dependent contrast perception modelling
Full item page Simple item page
- dc.contributor.author Bertalmío, Marcelo
- dc.contributor.author Calatroni, Luca
- dc.contributor.author Franceschi, Valentina
- dc.contributor.author Franceschiello, Benedetta
- dc.contributor.author Prandi, Dario
- dc.date.accessioned 2020-07-08T08:34:51Z
- dc.date.available 2020-07-08T08:34:51Z
- dc.date.issued 2020
- dc.description.abstract We consider the evolution model proposed in Bertalmío (Front Comput Neurosci 8:71, 2014), Bertalmío et al. (IEEE Trans Image Process 16(4):1058–1072, 2007) to describe illusory contrast perception phenomena induced by surrounding orientations. Firstly, we highlight its analogies and differences with the widely used Wilson–Cowan equations (Wilson and Cowan in BioPhys J 12(1):1–24, 1972), mainly in terms of efficient representation properties. Then, in order to explicitly encode local directional information, we exploit the model of the primary visual cortex (V1) proposed in Citti and Sarti (J Math Imaging Vis 24(3):307–326, 2006) and largely used over the last years for several image processing problems (Duits and Franken in Q Appl Math 68(2):255–292, 2010; Prandi and Gauthier in A semidiscrete version of the Petitot model as a plausible model for anthropomorphic image reconstruction and pattern recognition. SpringerBriefs in Mathematics, Springer, Cham, 2017; Franceschiello et al. in J Math Imaging Vis 60(1):94–108, 2018). The resulting model is thus defined in the space of positions and orientation, and it is capable of describing assimilation and contrast visual bias at the same time. We report several numerical tests showing the ability of the model to reproduce, in particular, orientation-dependent phenomena such as grating induction and a modified version of the Poggendorff illusion. For this latter example, we empirically show the existence of a set of threshold parameters differentiating from inpainting to perception-type reconstructions and describing long-range connectivity between different hypercolumns in V1.en
- dc.description.sponsorship The authors acknowledge the anonymous referees for their suggestions which improved significantly the quality of their manuscript. M. B. acknowledges the support of the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 761544 (Project HDR4EU) and under Grant Agreement No. 780470 (Project SAUCE), and of the Spanish government and FEDER Fund, Grant Ref. PGC2018-099651-B-I00 (MCIU/AEI/FEDER, UE). L. C., V. F. and D. P. acknowledge the support of a public grant overseen by the French National Research Agency (ANR) as part of the Investissement d’avenir program, through the iCODE project funded by the IDEX Paris-Saclay, ANR-11-IDEX-0003-02 and of the research project LiftME funded by INS2I, CNRS. V. F. acknowledges the support received from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant No. 794592 and from the INdAM project Problemi isoperimetrici in spazi Euclidei e non. V. F. and D. P. also acknowledge the support of ANR-15-CE40-0018 project SRGI - Sub-Riemannian Geometry and Interactions. B. F. acknowledges the support of the Fondation Asile des Aveugles.
- dc.format.mimetype application/pdf
- dc.identifier.citation Bertalmío M, Calatroni L, Franceschi V, Franceschiello B, Prandi D. Cortical-inspired Wilson–Cowan-type equations for orientation-dependent contrast perception modelling. J Math Imaging Vis. 2021;63:263-81. DOI: 10.1007/s10851-020-00960-x
- dc.identifier.doi http://dx.doi.org/10.1007/s10851-020-00960-x
- dc.identifier.issn 0924-9907
- dc.identifier.uri http://hdl.handle.net/10230/45083
- dc.language.iso eng
- dc.publisher Springer
- dc.relation.ispartof Journal of Mathematical Imaging and Vision. 2020 Jun 11
- dc.relation.ispartof Journal of Mathematical Imaging and Vision. 2021;63:263-81.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/761544
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/780470
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PGC2018-099651-B-I00
- dc.rights © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/s10851-020-00960-x
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Wilson–Cowan equationsen
- dc.subject.keyword Primary visual cortexen
- dc.subject.keyword Orientation-dependent modellingen
- dc.subject.keyword Contrast perceptionen
- dc.subject.keyword Variational modellingen
- dc.subject.keyword Geometrical optical illusionsen
- dc.title Cortical-inspired Wilson–Cowan-type equations for orientation-dependent contrast perception modellingen
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/acceptedVersion