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医学图象处理及其三维重建是目前研究的热点问题,它涉及计算机图形学、数字图像处理计算机视觉、以及人机交互技术。
医学图像预处理与三维重建是可视化技术的核心环节,二者直接关系着三维可视化的效果和速度。本文介绍了灰度变换噪声消除以及
伪彩色编码等图像预处理技术。然后着重探讨了三维重建技术中的体绘制和面绘制算法以及这两种算法的优点和不足。最后总结了网格消减算法,并利用它对MC算法进行表面网格简化。
-Medical processing and 3D reconstruction is a
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The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiment
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The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiment
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The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiment
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The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiment
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The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiment
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针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.-View of the current cha
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是通过贴图技术和多维材质技术、面剥离法和面缝合法,并配合图像处理技术,实现大楼的快速三维
重建。-Through multi-dimensional mapping technology and materials technology, surface stripping method and the surface suture, and with image processing technology, the rapid three-dimensional reconstructio
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医学图像三维重建,里面用到面绘制和体绘制,在VC6.0下运行,VTK5.4.2-Medical image reconstruction, which uses surface rendering and volume rendering, run in VC6.0, VTK5.4.2
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基于ObjectARX的自由曲面三维重建方法,值得参考-Obj ectARX based three-dimensional reconstruction of free surface
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一个由散点的三维重构软件,内有详细的使用例子-a tool for reconstruction of 3D surface, includes some examples
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基于CT数据的三维重构。提出采用VTK库进行医学数据的可视化。论文中重点研究了表面绘制和体绘制两种绘制方法。表面绘制采用移动立方体算法(Marching Cubes)实现,体绘制则用光线投射算法(Ray-casting)实现,并且通过比较两种算法的结果讨论了他们的特点。-Based on the three-dimensional reconstruction of CT data.Proposed using the VTK library of medical data visualizat
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自己写了一个二维Euler方程的间断有限元程序
上次发了一个三角形单元的程序 因为不是曲边单元 所以在圆柱后面容易形成涡
现在把程序改为曲边四边形单元了 没有涡出现
单元是8节点四边形单元 节点编号顺序是 1 5 2 6 3 7 4 8 也就是四个角点依次
是1 2 3 4 然后是边的中点编号 5 6 7 8.
时间推进采用 Runge-Kutta 方法
数值通量采用全局Lax-Friedrichs通量
仍然不能捕捉激波 因为
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读取一系列bmp文件,采用面绘制的方法实现图像的三维平滑重建。-Read a series of bmp file, using the method of surface rendering 3D smooth reconstruction of the image.
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Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapel
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功能重建表面的估计,从它的表面法线与表面法线关联银行shapelet基础功能。相关结果相加产生的重建。 sumation shapelet基础作用在表面的隐式积分结果,而执行面的连续性。
-Functional reconstruction of the surface estimated from the surface normal of the surface normals associated bank shapelet basis functions. Related to th
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一种简易有效的CT图像三维重建方法。利用MATLAB软件编写,实现CT图像的面绘制。-A simple and effective method of three-dimensional reconstruction of the CT image. Using MATLAB software development, surface rendering of the CT image.
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论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。-The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering
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首先介绍了医学图像三维重建的面绘制与体绘制方法,讨论了两种绘制方法的思想和优缺点,对常用的Marching Cubes算法和Ray Casting算法的原理和实现过程进行了阐述,并分析了可视化工具包VTK的实现机制。在VC++6.0平台下,结合可视化工具包VTK,分别基于Marching Cubes算法和Ray Casting算法对DICOM格式的CT图像序列进行三维重建,并给出了其实现的关键算法和3D可视化结果。通过人机交互,实现对重建后三维医学图像的旋转、缩放、平移等简单的交互操作。其次,通
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移动立方体(MarchingCubes)算法是面绘制算法中的经典算法,它是W.Lorensen等人于1987年提出来的一种体素级重建方法。因其原理简单容易实现,得到了广泛的应用。-The marching cubes (marchingCubes) algorithm is a classical algorithm in the surface rendering algorithm, it is W.Lorensen, who in 1987 put forward a voxel-leve
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