Bio-Inspired End-Stopped Neuron Model for the Curves Segmentation

Kugaevskikh, A. V.

doi:10.1109/rusautocon49822.2020.9208069

2020 International Russian Automation Conference (RusAutoCon) 2020

DOI: 10.1109/rusautocon49822.2020.9208069

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Bio-Inspired End-Stopped Neuron Model for the Curves Segmentation

A. V. Kugaevskikh

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2022

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Bio-Inspired Models of Convolution Neurons in the Problem of Illusory Contour Recognition

Kugaevskikh

Beryanov

2022

jour

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This paper presents the result of designing the architecture of a neural network on bio-inspired neurons, whose task is to work out the mechanism for recognizing an illusory contour using the example of “Kanizsa’s figures”. The neural network made it possible to achieve invariance to the number of corners of the figure and does not lose recognition quality when changing the size of the illusory contour. The main application of the approach can be found in the problem of separating “figure-background” in images.

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Bio-Inspired Models of Convolution Neurons in the Problem of Illusory Contour Recognition

Kugaevskikh

Beryanov

2022

jour

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Bio-Inspired End-Stopped Neuron Model for the Curves Segmentation

Cited by 1 publication

References 15 publications

Bio-Inspired Models of Convolution Neurons in the Problem of Illusory Contour Recognition

Bio-Inspired Models of Convolution Neurons in the Problem of Illusory Contour Recognition

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