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

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 processi...

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Bibliographic Details
Published in:2018 IEEE 9th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) pp. 207 - 212
Main Authors: Jiang, Guanwu, Luo, Minzhou, Chen, Saixuan, Bai, Keqiang
Format: Conference Proceeding
Language:English
Published: IEEE 01.02.2018
Subjects:
Biomedical imaging
Computed tomography
Filtering algorithms
Filtering theory
Image edge detection
Image segmentation
improved adaptive weighted median filtering algorithm
marching cubes
three dimensional imaging reconstruction
Three-dimensional displays
weighted variational processing
ISBN:9781538642979, 1538642972
Online Access:Get full text
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Summary: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.
ISBN:9781538642979
1538642972
DOI:10.1109/ICMIMT.2018.8340450