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从ML-EM 重建算法入手,分析了贝叶斯模型的一些关键点,针对采用传统方法求解MAP问题的局限性,提出一种用于正电子成像的贝叶斯神经网络重建算法,为了保留边缘信息,引入了二进制的保边缘变量,并应用共轭神经网络求解,模拟的重建结果表明,应用这种算法可以得到比ML-EM 算法更好的重建图像@-From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points,
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it automatically generate a simulated 3D breast phantom. Generate lesions, ducts, fibroglandular tissue and fatty tissue. It could be used for all kinds of breast phantom based image analysis. e.g projection image, CT reconstruction etc.
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SURF_DETECTOR
SURF (Speeded Up Robust Feature) is a robust image detector and descr iptor, first presented by Herbert Bay et al. in 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired
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CT迭代重建算法中3维投影矩阵的生成算法,该算法对学习计算机断层层析成像很有帮助。-CT image reconstruction projection ,3D
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利用matlab对头颅进行三维重建的实用算法-Practical three-dimensional image reconstruction algorithm using matlab
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CT图像的三维重建以及计算机仿真研究编程代码-CT image 3d reconstruction
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3D Compressed Sensing Reconstruction Demo
This software is presented as supplementary material for the publication,
High-density 3D single molecular analysis based on compressed sensing
, Biophysical Journal (2014).
This demonstration
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用于X光图像得三维重建算法,体绘制算法是三维重建的必经之路,值得参考!(For X light image 3D reconstruction algorithm, it is worth reference.)
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《Python计算机视觉编程》是计算机视觉编程的实践指南,依赖Python语言讲解了基础理论与算法,并通过大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。另外,书中附带的练习还能让读者巩固并学会应用编程知识。("Python Computer Vision Programming" is a practical guide to computer vision pro
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