Modeling the lighting conditions for the estimation of surface roughness by machine vision using design of experiments

V. Elango, L. Karunamoorthy

Abstract

The influence of the lighting conditions on the grey level distribution and thereby on the estimation of the surface roughness using machine vision system is reported in this work. The light to specimen distance, the grazing angle and the inclination of the striations are varied and their effect on the image parameter, the arithmetic average of the grey level is studied. Mild steel, brass and aluminium specimens are machined for different roughness for the study. Trials were made using the design of experiments procedure and the influence of the different factors are studied. Taguchi’s signal to noise ratio method is applied to find the optimal lighting conditions. A model is developed to establish the relationship between the lighting conditions and the image parameter.

Keywords

Machine Vision; roughness; Design of experiments; ANOVA; Signal to Noise ratio

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DOI

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IMEKO TC

TC14 - Measurement of Geometrical Quantities

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