@inproceedings{183dcf539bf5469b8435efeb0e0f9fac,
title = "Bio-Inspired End-Stopped Neuron Model for the Curves Segmentation",
abstract = "This article is dedicated to modeling the end-stopped neuron. This type of neuron gives the maximum response at the end of the line and is used to refine the edge. The article provides an overview of different models of end-stopped neurons. I have proposed a simpler and more accurate model of an end-stopped neuron based on the use of Gabor filters in antiphase. For this purpose, the models of simple and complex cells whose output is used in the proposed model are also described. Simple cells are based on the use of a Gabor filter, the parameters of which are also described in this article. The proposed model has shown its effectiveness.",
keywords = "complex cell, edge detection, end-stopped neuron, Gabor filter, neural network, simple cell",
author = "Кугаевских, {Александр Владимирович}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 International Russian Automation Conference, RusAutoCon 2020 ; Conference date: 06-09-2020 Through 12-09-2020",
year = "2020",
month = sep,
doi = "10.1109/RusAutoCon49822.2020.9208069",
language = "English",
series = "Proceedings - 2020 International Russian Automation Conference, RusAutoCon 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "719--724",
booktitle = "Proceedings - 2020 International Russian Automation Conference, RusAutoCon 2020",
address = "United States",
}