Source and magnitude of error in an inexpensive image-based water level measurement system

被引:47
作者
Gilmore, Troy E. [1 ]
Birgand, Francois [1 ]
Chapman, Kenneth W. [2 ]
机构
[1] N Carolina State Univ, Dept Biol & Agr Engn, Raleigh, NC 27695 USA
[2] GaugeCam, Raleigh, NC 27603 USA
关键词
Water level; Water stage; Machine vision; Edge detection; Instrument comparison; Uncertainty; RIVER;
D O I
10.1016/j.jhydrol.2013.05.011
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Recent technological advances have opened the possibility to use webcams and images as part of the environmental monitoring arsenal. The potential sources and magnitude of uncertainties inherent to an image-based water level measurement system are evaluated in an experimental design in the laboratory. Sources of error investigated include image resolution, lighting effects, perspective, lens distortion and water meniscus. Image resolution and meniscus were found to weigh the most in the overall uncertainty of this system. Image distortion, although largely taken into account by the software developed, may also significantly add to uncertainty. Results suggest that "flat" images with little distortion are preferable. After correction for the water meniscus, images captured with a camera (12 mm or 16 mm focal lengths) positioned 4-7 m from the water level edge have the potential to yield water level measurements within +/- 3 mm when using this technique. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:178 / 186
页数:9
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