Description: 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. Platform: |
Size: 75776 |
Author:wangwei |
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Description: 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
Platform: |
Size: 3874816 |
Author:QUAN RONG |
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Description: 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 Platform: |
Size: 70656 |
Author:penglan |
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Description: 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. Platform: |
Size: 472064 |
Author:刘坤 |
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Search - mutual information maximization