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In this study, 3D digital and optical microscopes were used. The aim of this study is to compare surface roughness measurement by employing the image processing methods such as line scanning, speckle and fast fourier transform with three different samples machined by different manufacturing processes. The surface roughness results from processed images were obtained using different image analysis techniques such as Dark-light technique developed by the authors. The values calculated with the proposed method were compared with the roughness values obtained from 3D digital and optical microscopes.

Comparison between 3D Digital and Optical Microscopes for the Surface Measurement by Computer Vision