Water Level Camera: mini-octagon target test

This post describes the first testing of a mini-octagon calibration target for measuring water level with a camera and machine vision algorithms.

Image of three signs installed in a small stream. Each sign contains a blue octagon shape that is used to calibrate images for water level measurements.
Mini-octagon (center) is approximately eight inches across, leading to a much smaller footprint for the target background. The other two octagons in the image are printed on plexiglass backgrounds two feet in width. Image credit: Mary Harner

The original GaugeCam “bow-tie” calibration target was about three feet wide and four feet tall. This target yielded excellent calibration and precise water level readings. However, the size of the target is obtrusive in images and prohibitive at some sites.

The next generation calibration target, the “octagon target,” is approximately two feet wide. The benefits of the octagon are that (1) the target footprint is much smaller, and (2) the calibration target remains above the water line, so a calibration can be performed for every image. Calibrating each image is more robust because it accounts for camera movement, which is inevitable. The large octagon target performs on par with the original bow-tie calibration target, as shown in Ken Chapman’s dissertation.

Our goal with the mini-octagon is to reduce the target background to the minimal size required for robust calibration and water level measurement. The current size is larger than a traditional staff gauge but reasonable size for installation in many environments. Below you can see our field fabrication of the first mini-octagon, using a sheet of Coroplast, spray paint, and octagon stencil.

Initial tests show that our algorithms can detect the vertices of the mini-octagon in low-light conditions and under IR illumination.

Mini-octagon detection for image calibration. We are working to determine how much calibration precision is reduced by the smaller octagon.
The latest KOLA imagery can be found at https://apps.usgs.gov/hivis/camera/NE_Kearney_Outdoor_Learning_Area_RISE.

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