Measurement of grinding surface roughness based on image energy distribution

Aiming at the problem that the current machine vision detection roughness mainly uses image gray value information for statistical analysis, does not make full use of color information and ignores the subjective evaluation of the human visual system, a surface roughness detection method based on image energy distribution is proposed. According to the difference in the energy distribution formed by the color patches on the surface of different grades of roughness, and theoretically analyze it, the image energy distribution index is used as the basis for evaluating the surface roughness. The experimental results show that under the conditions of the same illumination conditions and the orientation of the surface texture of the sample, the CDI index tends to decrease obviously with the increase of roughness, indicating that the proposed method has a certain feasibility. By establishing the mathematical relationship model between CDI index and roughness, it is found that the prediction result of the calibration sample is more accurate and the detection range is relatively wide, which shows that the proposed method is a reasonable and feasible method for surface roughness detection.