The Development of the Optical-Electronic Images Segmentation Method Based on the Canny Edge Detector-Reference-Cited by-同舟云学术

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The Development of the Optical-Electronic Images Segmentation Method Based on the Canny Edge Detector

Published:2023-10-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)
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Author:

Khudov Hennadii¹,Makoveichuk Oleksandr²,Khudov Vladyslav³,Khizhnyak Irina¹,Kalimulin Temir¹,Khudov Rostyslav⁴

Affiliation:

1. Ivan Kozhedub Kharkiv National Air Force University,Department of Radar Troops Tactic,Kharkiv,Ukraine

2. Academician Y. Bugay International Scientific and Technical University,Department of Computer Science and Software Engineering,Kyiv,Ukraine

3. Kharkiv National University of Radio Electronics,Department of Electronic Computers,Kharkiv,Ukraine

4. V.N.Karazin Kharkiv National University,Department of Theoretical and Applied Informatics,Kharkiv,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323600/10323603/10324149.pdf?arnumber=10324149

Reference17 articles.

1. Development of a two-stage method for segmenting the color images of urban terrain acquired from space optic-electronic observation systems based on the ant algorithm and the hough algorithm

2. Filtering in Image Processing;mirmozaffaria;Transp Engrg,2020

3. A Computational Approach to Edge Detection

4. The Neural Network Models Effectiveness for Face Detection and Face Recognition

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