Molten Image Crack Denoising Algorithm Based on the Detection of Connected Domain Area
Authors
Xu Liu, Tian-shu Yang, Mei Li, Man Zhao, Yong-ping Zhao
Corresponding Author
Xu Liu
Available Online April 2015.
- DOI
- 10.2991/ameii-15.2015.359How to use a DOI?
- Keywords
- Image processing; Crack noise; Connected domain area detection
- Abstract
For the crack noise in molten-image processing of rock deformation experiment, this paper proposes an abnormal value detection method based on connected domain area, through the experiment of comparison with two-dimensional discrete Fourier transform method, this approach can not only completely remove cracks or borders noise, while still maintaining all the information of molten material.
- Copyright
- © 2015, 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 - Xu Liu AU - Tian-shu Yang AU - Mei Li AU - Man Zhao AU - Yong-ping Zhao PY - 2015/04 DA - 2015/04 TI - Molten Image Crack Denoising Algorithm Based on the Detection of Connected Domain Area BT - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics PB - Atlantis Press SP - 1934 EP - 1937 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-15.2015.359 DO - 10.2991/ameii-15.2015.359 ID - Liu2015/04 ER -