工业CT三维图像的表面平滑方法

Surface Smoothing Method of Industrial CT 3D Image

针对工业CT图像含有噪声过多导致得到的工业部件的三维图像表面有毛刺和部分不连续的问题,将三维鲁棒Chen-Vese算法和基于水平集的非局部表面恢复算法结合用于工业CT三维图像的表面平滑处理.首先,利用三维鲁棒Chen-Vese算法对工业部件的灰度体数据进行三维图像分割,得到用水平集函数表示的工业部件的三维图像表面;然后,采用基于水平集的非局部表面恢复算法对工业部件的三维图像表面进行平滑.实验结果表明,利用该方法获得的工业部件的三维图像表面,在边界得到保护的同时减少了大量的噪声,而且在表面有毛刺和部分不连续的地方进行了重造,图像整体变得更为平滑,此可为工业CT三维图像的可视化软件的逆向设计和改造提供高质量的三维图像,减少了后期处理的计算量和存储量。

Because industrial CT images may be corrupted by noise,the obtained 3 D image surface of industrial parts presented burrs or partial discontinuity.To solve such problems,3 D-RCV algorithm is combined with nonlocal surface restoration algorithm to smooth the surface of industrial CT 3 D image based on level set.First,3 D-RCV algorithm is used to segment the gray volume data of industrial parts to gain the surface of industrial parts 3 D image which is represented by level set function.Then,nonlocal surface restoration algorithm based on level set is used to smooth the surface of industrial parts’3 D image.Experimental results indicate that this method can preserve the boundaries in image as well as suppress the noise.Moreover,some burrs or partial discontinuity in surface can be reconstructed,and the surface became smoother.Our method can provide high quality 3 D images for industrial CT 3 D image visualization software when reverse design and remold are being done;in other words,it can also reduce computation and storage in post-processing.