A visual object segmentation algorithm with spatial and temporal coherence inspired by the architecture of the visual cortex-Reference-Cited by-同舟云学术

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A visual object segmentation algorithm with spatial and temporal coherence inspired by the architecture of the visual cortex

Published:2021-11-15 Issue:1 Volume:23 Page:27-40
ISSN:1612-4782
Container-title:Cognitive Processing
language:en
Short-container-title:Cogn Process

Author:

Ramirez-Quintana Juan A.^ORCID,Rangel-Gonzalez Raul,Chacon-Murguia Mario I.,Ramirez-Alonso Graciela

Funder

Tecnologico Nacional de México

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10339-021-01065-y.pdf

Reference58 articles.

1. Andersen RA (1997) Neural mechanisms of visual motion perception in primates. Cell Press. https://doi.org/10.1016/S0896-6273(00)80326-8

2. Arbeláez P, Maire M, Fowlkes C, Malik J (2011) Contour detection and hierarchical image segmentation. IEEE Trans Pattern Anal Mach Intell 33(5):898–916. https://doi.org/10.1109/TPAMI.2010.161

3. Bednar JA, Miikkulainen R (2000) Tilt aftereffects in a self-organizing model of the primary visual cortex. Neural Comput 12(7):1721–1740. https://doi.org/10.1162/089976600300015321

4. Bednar JA, De Paula JB, Miikkulainen R (2005) Self-organization of color opponent receptive fields and laterally connected orientation maps. Neurocomputing. https://doi.org/10.1016/j.neucom.2004.10.055

5. Brito da Silva LE, Elnabarawy I, Wunsch DC (2019) A survey of adaptive resonance theory neural network models for engineering applications. Neural Netw 120:167–203. https://doi.org/10.1016/j.neunet.2019.09.012

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