Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Analysis of Fuzzy Enhancement of Digital Image

Authors
Shengyi Wu
Corresponding Author
Shengyi Wu
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.278How to use a DOI?
Keywords
Fuzzy Enhancement, Digital Image, Technology Support
Abstract

At present, due to the rapid development of computer technology, the overall development trend of image processing is based on digital processing (unless otherwise noted, the image processing described below defaults to digital image processing), because this method has high processing precision , Gray-scale and more, can carry out complex non-linear operations, good repeatability and many other advantages. Digital image processing is popularly refers to the application of computer and digital hardware equipment for image processing, in essence, computer technology, information theory and signal processing combined with a comprehensive application of disciplines.

Copyright
© 2017, 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 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.278
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.278How to use a DOI?
Copyright
© 2017, 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  - Shengyi Wu
PY  - 2017/04
DA  - 2017/04
TI  - Analysis of Fuzzy Enhancement of Digital Image
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1474
EP  - 1478
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.278
DO  - 10.2991/icmmct-17.2017.278
ID  - Wu2017/04
ER  -