面向三维测量的光刀图像质量评价研究

基于光刀法的三维测量具有精度高、速度快的优势,而光刀中心的精确提取是该方法的关键,针对普遍提取算法的局限性,率先提出引入光刀图像质量评价以提高提取算法的适应性,改进后期三维重建效果。基于光刀图像的特征以及噪声影响的分析,分别提出对比度、亮度、清晰度以及信息量等指标评价方法,进而提出总体评价方法,为提取算法进行适应性修正提供可靠地依据。

Laser stripe image quality assessment method for 3D measurement

The three-dimensional measurement based on the laser stripe method has the advantages of high precision and fast speed,and the accurate extraction of the laser stripe center is the key of the method.Aiming at the limitation of the universal extraction algorithm,this paper presents a method of Laser stripe Image quality assessment to improve the adaptability of the extraction algorithm and the effect of post 3D reconstruction.Based on the characteristics of the laser stripe image and the analysis of the influence of noise,the evaluation methods of contrast,brightness,sharpness and information amount are proposed respectively,and then the overall evaluation method is proposed,which provides a reliable basis for the adaptive correction of the extraction algorithm.