Evaluation of Surface Roughness on the Basis of Three-Dimensional Parameters Using Computer Vision System:Part-1

The three-dimensional roughness measurement is most proper way for the representation of topographical surface details; therefore in this paper, some vision-based three-dimensional optical statistical spatial parameters are computed by considering values, corresponding to gray scale intensity values, Red-Green-Blue (RGB) and Hue-Saturation-Intensity (HSI) colour models, at each pixel of the digital image. The statistical parameters such as average value, standard deviation, skewness, kurtosis etc. for the magnitude, slope and curvature corresponding to the intensity values over the surface have been computed.