Location M estimator for liquid level inspection using machine vision
نویسندگان
چکیده
In this paper location M estimator is used to inspect the over and under fill liquid level of bottle in machine vision system. Different optimal edge detection algorithms such as MarrHilderth algorithm LoG, Canny algorithm and Shen Castan algorithm are used for liquid level inspection in industry until now. The filling level in a bottle is computed as an average distance from a specific reference line. The average operator is not robust to outliers in the data. In this paper, we propose to use the combination of location M estimator with any type of edge detection technique which will remove the need of a specific optimal edge detection technique and thus can result into easy hardware realization of the liquid level inspection algorithm.
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