Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Machine vision based liquid level inspection system using ISEF edge detection technique
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
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A machine vision system is used to estimate surface roughness of machined surface after grinding, milling and shaping. The estimated roughness is compared with stylus measurements. The estimation is usually done by linear regression which suffers from outliers and hence the estimation is not robust. In this paper we compare redescending and monotone type of robust M estimation for estimation of surface roughness. The results show very good error reduction compared to the methods based on linear regression for redescending type of M estimator.