Description: 采用共信息(mutual information)实现了图像对齐的功能（image registration）。这在数据融合，图像处理里是很重要的。-adopt information (mutual information) to achieve alignment of the image features (i MAGE registration). This data integration, image processing, was very important. Platform: |
Size: 186368 |
Author:sea |
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Description: 基于mutual information的图象配准程序-based on mutual information of the image registration procedures Platform: |
Size: 2048 |
Author:dylan |
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Description: 互信息图像配准，采用matlab实现，主要用于多模医学图像-mutual information image registration using Matlab to achieve, mainly for the Multi-Modal Medical Image Platform: |
Size: 57344 |
Author:hyx |
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Description: 用于图像配准等应用的互信息计算，为Matlab程序，比较简单，但很实用。-for image registration applications such as the mutual information, as Matlab procedures are relatively simple, but practical. Platform: |
Size: 1024 |
Author:张大鹏 |
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Description: 这个源码是基于互信息图像配准用matlab的实现,需要的就下，啥也不说了-this source is based on mutual information image registration with the realization of Matlab, on the basis of need, not that the hero Platform: |
Size: 2048 |
Author:罗汉 |
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Description: 基于互信息的图像配准程序。用matlab编写的。有助于理解互信息。-based on mutual information of image registration procedures. Prepared using Matlab. Contribute to the mutual understanding of the information. Platform: |
Size: 3072 |
Author:周萍 |
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Description: 医学影像配准（Medical Image Registration）的入门资料。其中包括：
Fast Parametric Elastic Image Registration.pdf
Image Registration of Sectioned Brains.pdf
Mutual-information-based registration of medical images - a survey.pdf
Registration of histological serial sectionings.pdf
RegistrationMethodsOverview.pdf-Medical Image Registration (Medical Image Registration) introductory information. These include: Fast Parametric Elastic Image Registration.pdfImage Registration of Sectioned Brains.pdfMutual-information-based registration of medical images- a survey.pdfRegistration of histological serial sectionings.pdfRegistrationMethodsOverview.pdf Platform: |
Size: 11051008 |
Author:ricky yan |
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Description: 电子文档，基于互信息的图像配准，配准的文献为局部互信息，还有香农信息论文献-Electronic documents, based on mutual information image registration, registration of documents for the partial mutual information, as well as the Shannon information theory literature Platform: |
Size: 524288 |
Author:weajan |
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Description: 图像配准的文献，包括遗传算法，互信息法，免疫算法，中英文经典文献-Image Registration of the literature, including genetic algorithm, mutual information method, the immune algorithm, in both English and Chinese classical literature Platform: |
Size: 11192320 |
Author:weajan |
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Description: 2维的基于互信息的图像配准算法，使用powell法作为优化算法-2-dimensional mutual information based image registration algorithms, the use of law as the optimization algorithm powell Platform: |
Size: 78848 |
Author:张旭 |
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Description: 关于互信息图像配准方面的两篇权威的综述，对了解互信息配准方法有很大帮助，十分全面-On mutual information image registration aspects of two authoritative overview of the understanding of mutual information registration method are very helpful, very comprehensive Platform: |
Size: 1451008 |
Author:张旭 |
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Description: 使用图像的互信息进行自动图像配准源代码，这个程序通过归一化后的图像互信息进行图像的自动配准。中间通过旋转等进行图像对齐。-The use of images for automatic mutual information image registration source code, the procedure adopted by the normalized mutual information image after image of the automatic registration. Through the rotation between image alignment. Platform: |
Size: 74752 |
Author:yy |
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Description: 使用互信息进行2D图像自动配准源代码,应用平均互信息-The use of mutual information for automatic registration 2D image source code, the application of the average mutual information Platform: |
Size: 231424 |
Author:fh |
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Description: 基于最大互信息的图像配准算法源程序
用matlab编写的-Based on the maximum mutual information image registration algorithm using matlab source prepared Platform: |
Size: 580608 |
Author:wangdenuan |
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Description: The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented. Platform: |
Size: 98304 |
Author:Harry |
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Description: 进一步解决基于互信息的配准算法在配准精度、速度和误配率之间的相互制约问题。提出一种新的配准参数搜索策略——三级配准，将平移、旋转参数分开搜索；在分析互信息配准的优点和局限性的基础上，将模糊理论中的欧几里德贴近度引入三级 配准过程中。实验结果表明，本文提出的配准策略在保持基于互信息配准精度不变的情况下，迭代步数、配准时间和误配率均有明显改善。-Further resolve the mutual information based registration algorithm in the alignment accuracy, speed, and mismatch between the rate of mutual constraints. A new registration parameter search strategy- 3 registration, would be translation and rotation parameters of separate search in the analysis of mutual information registration of the advantages and limitations, based on the fuzzy theory in the Euclidean close 3 to introduce a registration process. Experimental results show that the proposed alignment strategy for maintaining the mutual information based registration accuracy of the same circumstances, the iteration step number, registration time and the error distribution rate showed significant improvement. Platform: |
Size: 15360 |
Author:arechi |
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Search - mutual information registration