In view of the problems of high uncertainty and high cost in existing water level meters, this paper presents a set of water level monitoring system based on computer vision to gain high accurate, real-time, robust intelligent water level monitoring. First, preprocessing and edge detection of captured images are carried out to find out the position of the water gauge to be read, and the calibration of the water gauge is carried out by using affine transformation algorithm. Second, the keyword in the water ruler area is positioned and processed by filtering method. Then the edge information is projected to find water surface. Finally, the height of water surface is calculated according to the results of keyword processing and edge information. Experimental verification and field deployment show that the complete water level detection scheme proposed in this paper has both theoretical and practical value in the field of water level detection and water gauge reading based on computer vision.
SUN Weiya, WANG Da, XU Shuai, WANG Jingye, MA Zhanyu
. Water Level Detection Algorithm Based on Computer Vision[J]. Journal of Applied Sciences, 2022
, 40(3)
: 434
-447
.
DOI: 10.3969/j.issn.0255-8297.2022.03.007
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