Research On The Key Technique Of Inner Defects Reconstruction Based On Slice Images

A series of slice-images, which imply the defect information, can obtain from CT scan. For further information about the defect space position and so on size, shape and density distribution, it is necessary to reconstruct cross-images to 3D model. This thesis take this as a background to carries on 3D reconstruction technique based on slice-images for inner defect systematically.This thesis proposed the idea reconstruction slice-images of inner defect, to get more precise information about the defect space position and so on size, shape and density distribution. Overcomes engineer carries on judgment subjectivity and capriciousness depend on the experience and imagines.In preprocessing, finding regularity of defect slice-images noise is very difficult, our mainly uses image smooth method to reduce noise. An algorithm was proposed for smooth the defect image based on Fuzzy-Control, using Fuzzy theory to solve the antinomy of smoothing noise and keeping the boundary and detail. Improve the algorithm of histogram equalization to acquire more satisfied visual effect, overcome the shortages of the original method.This thesis studied the algorithm of interpolation between slice-images too. An interpolation algorithm was proposed for contours interpolation. This method can adjust the accuracy of contours according needed. Then, we present a gray level algorithm for interpolation slice-images.This article proposed one method based on the smallest angle biggest on neighboring contours of slice-images. This method obtains triangulation of the surface with good geometry shape. Triangulate the surface by connecting the characteristic vertexes, which will reduce the number of result triangles. The surface is obtained by connect the triangles.