Proceedings of the 2018 3rd Joint International Information Technology,Mechanical and Electronic Engineering Conference (JIMEC 2018)

Research Algorithm on Edge Extraction of Images Using Cellular neural network method

Authors
Haiming Jing, Ning Zhao
Corresponding Author
Haiming Jing
Available Online December 2018.
DOI
10.2991/jimec-18.2018.66How to use a DOI?
Keywords
Image edge extraction; CNN; style; Digital Image processing;
Abstract

Image edge extraction is a very important foundation in image analysis fields, such as image segmentation, target region recognition and region shape extraction, and plays an important role in engineering applications.The theory and analysis of image edge extraction with Cell Neural Network is in detailed described by its definition and theorem. By digital image processing algorithms, the right templates is found. then the binary image design flow chart of the algorithm is used to test the binary image edge. The detection results show these parameters are suitable.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd Joint International Information Technology,Mechanical and Electronic Engineering Conference (JIMEC 2018)
Series
Atlantis Highlights in Engineering
Publication Date
December 2018
ISBN
10.2991/jimec-18.2018.66
ISSN
2589-4943
DOI
10.2991/jimec-18.2018.66How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Haiming Jing
AU  - Ning Zhao
PY  - 2018/12
DA  - 2018/12
TI  - Research Algorithm on Edge Extraction of Images Using Cellular neural network method
BT  - Proceedings of the 2018 3rd Joint International Information Technology,Mechanical and Electronic Engineering Conference (JIMEC 2018)
PB  - Atlantis Press
SP  - 311
EP  - 314
SN  - 2589-4943
UR  - https://doi.org/10.2991/jimec-18.2018.66
DO  - 10.2991/jimec-18.2018.66
ID  - Jing2018/12
ER  -