搜索资源列表
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6下载：
用matlab编写的基于特征点医学图像图像配准算法,Prepared using matlab medical images based on feature points, image registration algorithm
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图像处理中，一种新的边缘检测，特征点提取方法，算法经过测试，可以运行，对医学图像处理的人有帮助-Image processing, a new edge detection, feature point extraction method, the algorithm has been tested, you can run on the medical image processing to help the people
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matlab的医学图像处理相关论文，内容挺全的，包括图像去噪声、边缘检测等。找了很久-medical image processing matlab related papers, the content very wide, including the image to noise, such as edge detection. Looking for a long time
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这个Matlab程序实现了二维图像到三维图像的纹理映射功能。作者原本，把它用于MRI医学图像中。-The Matlab program achieved a two-dimensional image into three-dimensional image texture mapping function. Author of the original, it used in MRI medical images.
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医学图像处理：P0701：细胞边缘检测；702：癌细胞形态学分析；P0703：癌细胞颜色分析-Medical Image Processing: P0701: cell edge detection 702: morphological analysis of cancer cells P0703: color analysis of cancer cells
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关于医学图像配准的一篇论文，轮廓特征点、最大互信息、多模态-Medical Image Registration on a paper, the outline of the characteristics of points, maximum mutual information, multi-modal
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本文借助多尺度分析为手段，
研究医学图像配准与融合过程中医学图像的增强、插值、配准、融合和分割等
关键问题的理论方法研究，扩展了尺度的含义，使其不再局限在通常的小波分
析和形态学两个方面。-In this paper, using multi-scale analysis as a means to study the medical image registration and fusion process of medical image enhancement, interpo
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离散小波帧分解的医学图像配准研究 小波分析-Discrete wavelet frame decomposition study of medical image registration
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关于医学图像处理的matlab实现的代码和报告，包括几种常用的matlab分割方法-Medical Image Processing on the realization of the matlab code and reports, including several commonly used segmentation matlab
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应用小波变换 模极大值算法实现医学图像（CT图像和MRI图像）的融合-Wavelet transform modulus maxima to achieve medical image fusion
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应用小波变换最大值法实现医学图像的融合算法-Based on wavelet transform method to achieve maximum medical image fusion algorithm
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分析了如何利用小波变换技术对图像进行信息融合使读者从整体上对医学图像融合技术有一个比较清楚直观的理解
-Analysis of how to use wavelet transform to the image information fusion, so that readers from the whole of the medical image fusion technology has a relatively clear and intuitive understanding.
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基于水平集的医学图像分割算法，可以很好的分割医学图像，尤其对CT图像有较好的效果-Level set based segmentation of medical images, medical image segmentation can be very good, especially on the CT image has a better effect
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医学图像分割的实验报告(包含源程序)，主要内容包括：不同算子（Sobel、Prewitt、Roberts、Laplacian）的边缘提取效果分析；阈值分割；以及watershed方法的分割讨论。-The implementation and discussion for fundamental medical image segmentation algorithms, including edge extracting algorithm, thresholding methods and w
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project on medical image processing and some source code
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图像融合的目的把来自多传感器的数据互补信息合并成一幅新的图像,以改善图像的质量。图像融合最简单的理解就是两个（或多个）图像间的相加运算。这一技术广泛应用于多频谱图像理解和医学图像处理等领域。主要分为空域和频域相加。-The purpose of image fusion from multiple sensor data to complement the information merged into a new image to improve image quality. The simp
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医学图像的配准的Matlab程序，比较初级，供初级学习者参考学习-Medical image registration in Matlab, more elementary, junior learner reference for learning
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本程序为M文件，运行环境为matlab, 也可通过matlab转化为C++运行。实现功能：可实现医学图像的自动分割！-Fuzzy Clustering
Algorithm for Medical Image Segmentation
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图像分割是图像分析的关键步骤，而水平集方法是图像分割的一项热门方法，它有着许多算法不具有的优点，尤其可用于分割背景复杂信息难以提取的医学图像。这里是一些水平集分割图像的matlab的实现例子，希望可以帮到大家。(Image segmentation is the key step of image analysis, while the level set method is a popular image segmentation method, it has many advantages
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关于使用matlab进行医学图像处理的练习题，内附答案(About the use of MATLAB medical image processing exercises, containing the answer)
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