Abstract—Flood is imminent when heavy rain occurs, identifying the level of water in plain sight is difficult to achieve. There are currently available ways to detect flood water but usually are very expensive and needs a huge equipment with sensors. The research has proposed an alternative solution to expensive ways on detecting flood and water levels. The study created an application to detect body of water by using image processing technique called Region-based segmentation algorithm to detect water on the image and Canny Edge Detection with computation using Pixel Ratio on a selected water region to determine the height of the water or flood. A CCTV camera was used to capture the image and was fed on the application through the network infrastructure. Once captured, the image was processed to detect the body of water and measurement of its level. The testing of the application was done on a controlled environment and the application was able to detect the water body on the picture. It was able to detect the edge of the water based on a selected region where the water is found. The measurement of the actual height of the water, closely matches the height of stated in the application. Thus, the research has found a way to detect body of water and gauge its water level using image processing, in which, have found a way to detect and measure water affordably. This research can be a step, in future research like monitoring the streets’ flood level when heavy rains occurs. This is a much more safe and affordable way to monitoring the increase and decrease of flood.
 

Index Terms—waterbody detection, image processing, water level measurement, CCTV IP camera

Cite: Beau Gray M. Habal, Elisa V. Malasaga, and Abraham T. Magpantay, "An Experimental Approach on Detecting and Measuring Waterbody through Image Processing Techniques," Journal of Advances in Information Technology, Vol. 12, No. 1, pp. 45-50, February 2021. doi: 10.12720/jait.12.1.45-50

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