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Research and Implementation of 3D Reconstruction Using Dividing Cubes and Shear-Warp
Author: ZhangGuoQing
Tutor: LiJin
School: Harbin Engineering University
Course: Pattern Recognition and Intelligent Systems
Keywords: Volume data 3D visualization Dividing Cubes Shear-Warp
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 53
Quote: 1
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Abstract
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With the rapid development of the computer and its related technologies , as well as graphics technology is maturing , increasingly wide range of applications in the medical field , creating a digital medical new era of image processing and analysis techniques . With medical image processing and analysis of computer image processing and analysis , computer graphics , virtual reality , and computer network technology , also will gradually become a very distinctive research direction . Medical Data visualization is a research focus in the visualization technology of three-dimensional data field of Biomedical Information Engineering , has a wide range of applications in medicine . Therefore , medical volume data visualization technology research has important academic significance and application value . The Research and Implementation of Medical Data 3D visualization algorithms . Surface rendering algorithm Dividing Cubes algorithm and Marching Cubes algorithm . The experimental results show that the same CT sequence Dividing Cubes algorithm processing speed faster than the Marching Cubes algorithm ; Shear-Warp algorithm in volume rendering algorithm , and Ray-Casting algorithm , the experimental results show that on same CT sequence , Shear-Warp algorithm processing speed faster than the Ray-Casting algorithm . The paper designs and implements a small three-dimensional visualization system . The system is divided into the following sections: read and display a single image ; bulk read dicom image sequences and display ; conversion of image formats ; dicom sequence corresponding visual processing , surface rendering DividingCubes Shear-Warp algorithm algorithms and volume rendering , and shows the final draw results ; Gaussian smoothing can be realized on a single CT image ; simple interactive visualization results , including pan , zoom in and out , rotate .
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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