Abstract

A specular suppression model on reflective material figures based on polarization information and figure grayscale information is built. The model can optimize the imaging effect of reflective material in a strong light environment to restore the information characteristics of the figure. Taking the workpiece surface of reflective material as the experimental object, figure surfaced information restoration and visual measurement effect analysis were carried out. The experimental results show that the method offered can achieve good suppression of the large-area light spot phenomenon in the imaging of reflective material. The texture contours of the figures are significantly improved, and the imaging indicators in all aspects are further optimized, which verifies the feasibility of the offered method to a certain extent.

© 2022 Optica Publishing Group

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