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Research on ROI Segmentation and 3D Reconstruction Algorithm

Author: HanJianYe
Tutor: YangHuaMin
School: Changchun University of Science and Technology
Course: Applied Computer Technology
Keywords: Region of interest Pulse Coupled Neural Networks Topology adaptive active contour models Marching Cubes
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 72
Quote: 1
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Abstract


In this paper, the visualization of medical image sequences two basic issues in-depth study , theory and method of medical image sequence regions of interest (Region of Interest, ROI) segmentation and 3D visualization (3D Visualization) . First, studies extract the region of interest image segmentation methods , those based on automatic segmentation of medical image sequences by the combined method of pulse coupled neural network model and the active contour models , and then move the cube and contour splicing surface rendering three - dimensional reconstruction method on the surface of the three-dimensional image of the extracted edge contour constructor object of interest , since the reconstructed image surface ladder shadow so that the surface is not smooth enough, Finally, the paper is used in the study on the basis of the vector field smoothing method smoothing the surface of the three-dimensional image based isosurface vector field smoothing method is more close to the real situation , making the final display .

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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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