3D Surface Topography Measurement Method Of Complex Objects Based On Color Information

With the progress of society,digital equipment has been greatly developed,and three-dimensional measurement technology has been used in more and more extensive markets.From aircraft manufacturing to mobile phone face recognition,basic applications can be accessed by everyone.With the development of the application market,the requirements for measurement accuracy are also increasing.However,in the process of using this technology to reconstruct the three-dimensional surface of objects with high reflectivity and complex colors,the strong reflection characteristics of the surface of high reflectivity objects will cause the image to be saturated and the surface of the object with complex colors will cause the fringe contrast in the image to be low,making The information collected by the camera is incomplete and the fringes are lost,resulting in large measurement errors.Therefore,solving the above problems has become a hot research direction in the field of 3D profile measurement.This article improves the traditional measurement method and applies it to the field of surface topography measurement.For metal,ceramics and other objects with smooth surfaces in 3D measurement,adjusting the angle between the 3D measurement system and the object cannot completely eliminate the problem of strong reflected light.An improved image restoration algorithm combined with reflection separation is proposed to remove highlights in the image.First,the reflection separation method is in-depth research,using the original image pixel value and the corrected approximate mirrorless image difference to distinguish between specular reflection and diffuse reflection pixels,but when processing the image obtained by actually measuring and shooting high-reflectivity objects,It is found that this method still cannot effectively remove the highlights and restore the real information on the surface of the object.Therefore,this article also researched the theory of image restoration,and proposed a method that combines curve fitting and color information.Finally,the missing information in the graph due to reflection separation will be completely repaired.Aiming at the problem of measuring objects with complex surface colors,this paper proposes a gray code coding strategy based on complementary colors by analyzing the reflection characteristics of light.This method can improve the contrast of the image acquired by the camera under different Gray code encoding strategies bitmap projection,so that the image acquired by the camera can adapt to a wider range of exposure time changes,and ensure that the texture information on the surface of the object is more complete.Reconstruction of surface three-dimensional topography lays the foundation.This paper analyzes the feasibility of the proposed method and conducts experiments.First,an experimental platform was built,and the entire system was calibrated,and finally a three-dimensional reconstruction experiment was carried out.For objects with high reflectivity,the proposed method can basically restore the real information on the surface of the object after removing the highlights,and the stripe restoration effect is ideal.The three-dimensional reconstruction results verify the feasibility of the proposed method.For objects with discontinuous colors,experiments are carried out using the proposed projection mode,and the contrast of the image captured by the camera under the projection of the proposed method is analyzed,and the effect of the proposed method is verified.And it makes the image acquired by the camera under a large amount of exposure less saturated pixels.The final three-dimensional reconstruction analysis of the surface of the object also proves the practicability of the method.