Research on 3 dimensional reconstruction of CT images based on improved filtering algorithm

Minzhou Luo, Saixuan Chen, Guanwu Jiang, Keqiang Bai
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引用次数: 0

Abstract

The 3D reconstruction of medical images is a hot spot in medical research. It is a comprehensive application of computer graphics, image processing, computer vision and human-computer interaction. Firstly, in this paper used an improved adaptive weighted median filter algorithm for CT image processing, greatly reduces the amount of data processing, and improve the process effect of the speckle noise and environmental noise. Then the automatic threshold segmentation algorithm and the improved iterative algorithm are used to realize the multi threshold image segmentation. Finally used the marching cubes algorithm and equivalent plane method three dimensional reconstruction of CT image. In this paper through VTK (Visualization Toolkit) and VC++ software to achieve the CT images three-dimensional reconstruction and greatly improve the accuracy and accuracy of medical diagnosis.
基于改进滤波算法的CT图像三维重建研究
医学图像的三维重建是医学研究的热点。它是计算机图形学、图像处理、计算机视觉和人机交互的综合应用。首先,本文采用改进的自适应加权中值滤波算法对CT图像进行处理,大大减少了数据处理量,提高了对散斑噪声和环境噪声的处理效果。然后采用自动阈值分割算法和改进迭代算法实现多阈值图像分割。最后利用行军立方算法和等效平面法对CT图像进行三维重建。本文通过VTK (Visualization Toolkit)和vc++软件实现了对CT图像的三维重建,大大提高了医学诊断的准确性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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