Description: 摘要:回顾了神经网络理论发展的历史和现状。在此基础上，介绍并讨论了20世纪如年代神经网络研究的一些新进展。根据神经网络研究的特点，对人工神经网络今后的发展前景作了一定的评述，
人工神经网络的研究与发展必将对现代科学技术产生深远的影响.配准中基于像素和基于特征两类主要方法的优缺点 深入研究了互信息理论在医学图像配准领域的应用和实现机理以及互信息作为相似性测度的优缺点。本文着
重深入研究了Renyi广义互信息及其在图像配准中的作用，并针对互信息计算的复杂性，引入了广义近邻图嫡估计理论，并成功应用于多模医学图像配准中。
-Abstract: The review of the history and current status of the development of neural network theory. On this basis, some new developments in the 20th century, such as the age of neural network research is presented and discussed. According to the characteristics of neural network research, made some comment on the future prospects for the development of artificial neural network, artificial neural network research and development is bound to have a profound impact on modern science and technology. Registration based on the pixel-based features of the two main types The advantages and disadvantages of the method -depth study of the mutual information theory in the field of medical image registration and achieve mechanism and the advantages and disadvantages of mutual information as a similarity measure. The article focuses on in-depth study the Renyi generalized mutual information and its role in image registration, and the introduction of mutual information calculation complexity, the t Platform: |
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Author:朙朙 |
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Description: 基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力-Hot and difficult of the current research areas of domestic and foreign feature point matching based the SIFT image registration program SIFT feature matching algorithm is its ability to match between the two images, can handle translation, rotation, affine transformation case match problem, even in some degree images taken at any angle with more stable feature matching ability Platform: |
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Author:yejj |
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Description: 本资料是基于VC++进行数字图像获取,处理及实践应用进行了全面系统的阐述.
分别讨论了位图及图像类的概念,图像获取,图像增强,图像复原,正交变换,
压缩编码,图像配准,运动检测,特征提取,图像分割及时报的相关知识.-This information is based VC++ digital image acquisition, processing and practical application of a comprehensive and systematic exposition. Discuss the concept of a bitmap image class, image acquisition, image enhancement, image restoration, orthogonal transformation, compression, image registration, motion detection, feature extraction, image segmentation and knowledge of the Times. Platform: |
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Author:贾宁 |
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Description: 一篇关于现今常用图像配准算法的一个PPT，主要是关于非刚性配准算法的一些数学模型-A PPT on now common image registration algorithms, mainly about some mathematical models of the non-rigid registration algorithm Platform: |
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Author:钱春俊 |
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Description: 用互信息方法做的图像配准，效果很好，不足就是运行时间太长-Image registration operated by mutual information method works well, the lack of it is that running time is too long. Platform: |
Size: 834560 |
Author:钱春俊 |
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Description: 归一化互相关图像配准
有时一幅图像是另一幅图像的子图像，可以利用归一化互相关通过移动一幅图像来是两幅图像配准。-Normalized cross-correlation image registration Sometimes an image is another image of the sub-image, by moving an image using the normalized cross-correlation to two image registration. Platform: |
Size: 1024 |
Author:陈静 |
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