Research on 3-D Reconstruction With a Series of Cross-Sectional Images

3D reconstruction with cross-sectional images means to reconstruct the 3D shape of the object with a series of cross-sectional images. The 3D reconstruction method derived from industrial computed tomography images is focused in this paper. The original data comes from a large industrial computed tomography machine, which uses the 3rd generation fan-beam scan mode. Firstly, images are processed to remove air annulus. Then volume rendering is used to reconstruct the workpiece in Matlab environment. The cross section image resulted from the 2D convolution projection reconstruction is the original image for 3D reconstruction, which is image file. The noise caused by converting paper or film image into digital image is reduced in this way. Furthermore the additional step to match images is avoided by applying the fan-beam convolution projection algorithm that determines whether the images are matched