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一种新的方法,可以自动对两幅图像进行刚性配准。采用matlab和c++混编,速度得到一定的提高。-Rigid body 2-D image co-registration (translation and rotation) is performed using maximization of mutual information.
Update : 2025-04-04 Size : 74kb Publisher : wangwei

基于互信息的图像配准方法,用最大互信息对两张图片进行配准,得到他们相同的部分并以此为结果显示-Based on mutual information image registration by maximization of mutual information on the two pictures, registration, and get them the same part and the results show that
Update : 2025-04-04 Size : 3.7mb Publisher : QUAN RONG

基于最大互信息运动目标检测确认其为人邢可耕地-Moving target detection based on the maximization of mutual information
Update : 2025-04-04 Size : 69kb Publisher : penglan

医学图像配准,医学图像2D_3D配准,基于vc++开发。-The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedics to neuro- surgery, it has a great value in maintaining up-to-date in- formation about changes due to intervention. We propose a mutual information-based registration algorithm which es- tablishes the proper alignment via a stochastic gradient as- centstrategy. Ourmaincontributionliesinestimatingprob- ability density measures of image intensities with a sparse histogrammingmethodwhichcouldlead to potentialspeed- up over existing registration procedures and deriving the gradient estimates required by the maximization procedure. Experimental results are presented on fluoroscopy and CT datasets of a real skull, and on a CT-derived dataset of a real skull, a plastic skull and a plastic lumbar spine seg- ment.
Update : 2025-04-04 Size : 461kb Publisher : 刘坤

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基于互信息最大化的特征提取代码,希望对大家有用(Feature extraction code based on maximization of mutual information)
Update : 2025-04-04 Size : 871kb Publisher : 曲文vm
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