Analyzing the effect of illumination on machine vision detection of the laser grid shape

The main purpose of the study was to analyze the quality of laser grid shape detection in various ranges of illumination intensity for industrial application in conditions of underground and open-pit mining and on production sites. In particular, the dependences were established of the illumination level effect on the quality of the laser grid shape detection with the machine vision. Images were used as the study objects, while the subject was the machine vision algorithms and the values of the qualitative shape detection parameters. As a result, the authors have identified the conditions for the most effective shape detection of a laser grid projected onto the surface. In accordance with the developed methodology, the result of a series of laboratory tests was obtained with different light discreteness. In case of insufficient value of the parameter for a group of pixels, erosion and dilation operations were used, allowing to change the parameters of adjacent pixels to the values that would ensure the shape detection. The results are obtained in the form of qualitative dependence of the laser grid cells shape detection on illumination in laboratory conditions. The conclusion is made about the optimal illumination range, at which the quality of the laser grid shape detection is stable. The obtained results can be applied in various industries, including the mining industry, when measuring the objects volume with machine vision in combination with a laser grid.