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

机译:基于改进滤波算法的CT图像三维重建研究

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摘要

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.
机译:医学图像的3D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进行CT图像处理,大大减少了数据处理量,提高了斑点噪声和环境噪声的处理效果。然后使用自动阈值分割算法和改进的迭代算法来实现多阈值图像分割。最后利用行进立方体算法和等效平面法对CT图像进行三维重建。本文通过VTK(可视化工具包)和VC ++软件实现了CT图像的三维重构,大大提高了医学诊断的准确性和准确性。

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