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image_registr_MI
- Descr iption: Functions for aligning images by rotation and translation: im_reg_MI.m MI2 - calculating Mutual information joint_h - calculating Joint histogram
Automatic Image Registration
- Descr iption: Functions for aligning images by rotation and translation: image_registr_MI.m MI2 - calculating Mutual information joint_h - calculating Joint histogram
hist21
- 计算两幅图像联合直方图的matlab小程序。可以用于图像分割及图像互信息的计算-calculated two joint histogram of the image of small Matlab procedures. Can be used for image segmentation and image mutual information calculation
mi_hist.zip
- 计算两幅图像的互信息和联合直方图，适于图像处理初学者，,Calculation of two images of the mutual information and joint histogram, image processing is suitable for beginners,
IJPRAI_demo_software
- 一种基于纹理的Mean Shift目标跟踪算法Matlab源代码,论文<Robust Object Tracking using Joint Color-Texture Histogram>发表在2009年的International Journal of Pattern Recognition and Artifical Intelligence.-Matlab Code for An Texture based Mean Shift Tracking Algroithm. The
yundong
- 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshi
40e87b3a-0df7-43ec-8729-916b7c6ea92fR
- 基于CUDA的立体视觉 在本文中，我们提出了一个基于GPU的加速方法，以加快计算量图像配准 统一设备架构（CUDA技术）。一种新颖的CUDA技术为基础的联合直方图计算方法介绍 在这个文件，该文件还对二维图像配准和其他应用程序的一般图形宝贵。此外， 1算法的改进，提出改进FMRIB广泛使用的线性图像注册工具 （调情）。虽然采取了额外的时间是通过应用该算法的改进，我们的实现表明， 能够执行一个完整的12个自由度（自由度）的两个脑容量图像配准在近35秒， 时间大约是10比本
ROBUST-OBJECT-TRACKING-USING-JOINT
- title of the project is ROBUST OBJECT TRACKING USING JOINT COLOR-TEXTURE HISTOGRAM i hav added ieee paper descr iption
MyHistogram
- 包括画单图的直方图，均衡直方图，归一化直方图以及两幅图像的联合直方图；修正了读入图像时要在同一目录下、以及图像的格式和是否为RGB图像的限制；修正了画两幅图像联合直方图时，大小需要保持一致的限制-Paintings include single graph histogram, histogram equalization, the normalized image histogram and two joint histogram amended to read into the image
image-registrationHarris
- 针对基于最大互信息图像配 准的不足 研究 了基于 H a r r ls角点算子的多模态医学图像配准。在计算互信 息的时候,采用部分体积插值法计算联合灰度直方 图-Based on the maximum mutual information for image registration based on the lack of H arr ls corner operator multimodal medical image registration. In calculating the mu
PV
- 介绍了PV插值法以及几何变换，可用来计算联合直方图，之后用于图像配准-Introduces the PV interpolation and geometric transformations, used to calculate the joint histogram, for image registration after
PV_mi
- 反复试验，通过PV插值法，求得两幅图像的联合直方图和互信息-Trial and error, by PV interpolation, and seek joint histogram of two images and mutual information
Automatic-Image-Registration
- Functions for aligning images by rotation and translation: im_reg_MI.m MI2 - calculating Mutual information joint_h - calculating Joint histogram Mutual information is calculated using joint histogram calculation between two images.
ent
- 求两幅图像的联合直方图，联合信息熵以及它们的互信息。直接运行即可。-takes two images of equal size and pixel value ranges and returns the joint histogram, joint entropy, and mutual information.
2
- 基于交叉累计剩余熵的图像配准中插值方法的改进 交叉累计剩余熵（CCRE）比传统互信息在配准强噪声图像时更具优势,但采用部分体积（PV）插值的CCRE在网格点容易产生局部极值,不利于变换参数的优化。针对该问题,研究基于3阶B样条函数的PV插值（BPV）、哈宁窗sinc函数的PV插值（HPV）和Blackman-Harris窗sinc函数的PV插值（BHPV）方法在CCRE中的应用,提出一种新的插值方法。该方法采用灵活的邻域中心,将插值点对联合直方图贡献的权重分散到临近的9个点上,并使用高
直方图均衡去雾的四种做法
- 我这里是一些去雾图像处理的传统算法,其中包括了图像转换,但传统算法仍有欠缺之处,希望有兴趣的朋友可以参与进来一起共同研究和改进..(Four methods of histogram equalization to remove fog Here are some traditional algorithms for defog image processing, including image conversion, but there are still some shortcomings