Automatic Surface Size Distribution Observation of Graded Sand Bed Based on Digital Image Analysis
- DOI
- 10.2991/caai-17.2017.121How to use a DOI?
- Keywords
- graded sediment; digital image analysis; surface size distribution; automatic recognition
- Abstract
Traditional method commonly used in bulk sampling and sieve analyses is inevitablely involved the bed surface excavation and destroy the original bed size distribution. In this work, an automatic surface size distribution observation method based on digital image analysis without involving the bed surface excavation is proposed and the validity of this method is tested by an experimental case. The surface size distribution results from this method are compared with the traditional volume-by-weight method, and it is shown that a conservative estimate of the error in measuring bed surface composition for this method is considerably smaller.
- 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 - Zhijing Li AU - Jun Wang AU - Zhongwu Jin AU - Yinjun Zhou PY - 2017/06 DA - 2017/06 TI - Automatic Surface Size Distribution Observation of Graded Sand Bed Based on Digital Image Analysis BT - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017) PB - Atlantis Press SP - 541 EP - 544 SN - 1951-6851 UR - https://doi.org/10.2991/caai-17.2017.121 DO - 10.2991/caai-17.2017.121 ID - Li2017/06 ER -