金属断口SEM图像的3维重建能更精确地定量分析断口,因而在材料断裂研究中具有重要意义。为了对金属断口SEM图像进行重建,根据金属断口表面具有的分形特征,提出了以高度z连续作为约束条件,利用神经网络对单幅断口SEM电镜图像进行重建的算法,并在实验中取得很好的重建效果。该算法对于未知光源方向的粗糙表面的3维重建具有较大的理论价值和实用价值。

It is important for 3D Reconstruction of SEM of metal fatigued fracture to study on material fracture which makes quantitatively analysis of the fracture more accurately.As the faultage of metal has excellent fractal characteristic,a new method of calculating SFS(shape from shading) based on neural network model has been proposed and applied to reconstruct the 3D morphology for single SEM of metal fatigued fracture.The experimental results show that the algorithm is effective for the 3D reconstruction of the coarse surface with unknown light direction.