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tuxiangpipei
- 图像配准利用各种方法面对各种问题来解决问题发现问题-Image registration using a variety of methods to solve problems face various problems problems found
FusionF
- 1、读取两幅配准后的CT和PET图像 2、实践加权平均融合法。融合PET和CT图像，显示融合后图像。-1, read two image after image registration of CT and PET 2, practice weighted average fusion method.After the fusion of PET and CT images, show the fusion image.
SIFT
- SIFT图像配准，已测试比较好用，请大家放心使用-SIFT image registration
ScaramuzzaOCamCalib
- 鱼眼镜头拍摄时会有畸变，此matlab工具箱具有校正图像畸变的功能，也可以进行多个相机的配准，是网上流行的方法-When fisheye lens distortion have this matlab toolbox has image distortion correction function can also be multiple camera registration, online popular method
image-mosaic.doc
- 图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的
FAST
- 对图像进行FAST特征点提取，对提取出的特征点计算互信息，以互信息为相似性度量进行图像配准-FAST the image feature point extraction, the extracted feature point mutual information to mutual information image registration as a similarity measure
ORB-Opencv
- 首先使用FAST对图像进行特征点提取，之后生成ORB描述符，进行点特征匹配，可以达到快速精确配准-The first to use the image FAST feature point extraction, after generating ORB descr iptors were point feature matching, can achieve fast and accurate registration
RegistrationPhaseCorrelationLogpolar
- Registration phase correlation logpolar rotation Polar schematic example _lina
video1
- matlab图像处理作业，对一段视频中的运动物体进行实时跟踪。利用surf进行每两帧图像的配准，并利用帧间差分法，找到物体轮廓，可追踪两个目标，请在matlab2013b环境下运行-Matlab image processing operations, real-time tracking of a moving object in video. Using surf every two frames of image registration, and use the interframe d
hungarian-rvm
- 一种基于匈牙利算法和相关向量机的点模式匹配算法，可以有效解决点集的刚性和非刚性变换的参数求解问题。-A point set registration method based on Hungarian Algorithm and RVM which can well solve the parameters of rigid and non-rigid transform.
registrationforsame
- 同源图像配准，只适合两幅图有一幅图属于另一幅图，且不存在旋转和缩放的情况，里面的显示程序较好，值得学习-image registration，
GDAL-correlator-master
- GDAL-correlator-master.zip是由C++采用开源代码gdal实现的自动查找两幅图片中相同的特征点的配准算法，surf算法。-GDAL-correlator-master.zip by C++ implementations using the open source gdal registration algorithms automatically find the same two pictures feature points, surf algorithms.
main
- 图像配准，将相同物体的不同构图融合他们的信息进行配准，得到最后的配准结果-Image registration, the different composition of the same object to converge their registration information, get the final registration results
Harris
- 基于Harris多尺度角点检测的图像配准新算法,适合图像处理的朋友-Multi-scale Harris corner detection of image registration based on a new algorithm
peizhun
- 基于互信息的图像配准，提供pso和powell优化算法，GUI界面（对网上程序稍作调整，里面的注释是本人添加，在matlab2012b上亲测有用）-Based on mutual information image registration, use the pso and powell optimization, GUI interfaces
cross-correlation-subpixel
- 基于互相关的图像配准程序，能实现亚像素级的配准-Sub pixel level registration based on cross correlation image registration process
registation
- 一些常用的图像配准算法，基于灰度，基于特征点等-Some commonly used image registration algorithms, based on gray scale, based on feature points, etc.
MI
- 互信息配准图像，是基于灰度的一种配准方法，精确度比较高。-Mutual information image registration is a registration method based on grayscale accuracy is relatively high.
sift
- 这个代码是SIFT代码，SIFT是基于特征点的配准方。具有尺度，旋转不变性等特点-This code is a SIFT Code, SIFT is feature registration based on feature points. It has the scale, rotation invariance。
build_scale
- SIFT特征点检测配准方法建立高斯尺度空间的程序，比较有用-Registration SIFT feature point detection method to establish the Gaussian scale space program, more useful