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/).

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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  -