搜索资源列表
AntColony
- 图像配准技术中用蚁群算法来检测函数的最大值-Image registration technique using ant colony algorithm to detect the function of the maximum value
image-registration
- 一个完整的基于互信息的图像配准程序，包括ＰＯＷＥＬＬ和ＰＳＯ两种优化算法，可对有平移和旋转的两幅图像实现准确配准。-A complete image registration based on mutual information procedure, including two POWELL and PSO optimization algorithm can be run properly.
superresolution_v_2.0
- 该代码实现序列图像配准和重建过程，包含多种算法，配准算法有keren,marcal等，重建算法包含了POCS凸集投影算法-The code sequence of image registration and renewal process, including a variety of algorithms, registration algorithms are keren, marcal etc. reconstruction algorithm contains POCS POCS al
ImageRegistration
- 该代码可以用MATLAB实现序列图像的配准算法-The code can be realized using MATLAB image registration algorithm sequence
matching
- 本文主要致力于图像配准和拼接算法的研究，一方面以Harris算法为基础，提出了一种基于圆形邻域增强的角点配准算法，而另一方面则根据图像配准精度需求及庞大图像规模，将图像的拼接算法改进，提出基于尺度不变特征一种的图像拼接算法。-The thesis focuses on image registration and stitching algorithm, on the one hand to the Harris algorithm, proposed corner registration a
demons
- 微分同胚demons算法，实现大位移的脑图像配准-Diffeomorphic demons: Efficient non-parametric image registration
SIFT-Registration_DJ_2012221043
- 基于SIFT算法的图像配准研究，对于初学者非常实用-Can realize image registration based on SIFT, for the study of image registration, the effect is very good
FourierMellin_Regnister
- 傅立叶—梅林配准，采用傅立叶—梅林算法进行图像配准，该方法应用于弱透视图像的配准也具有很好的配准效果。-FourierMellin Regnister
GUI
- 使用matlab开发环境，进行最大互信息图像配准（其中含界面多种算法的程序）-Use matlab development environment, the maximum mutual information image registration (which contain multiple algorithms program interface)
Source
- 基于SIFT特征的图像配准，对SIFT算法原创作者的C代码进行了MATLAB包装-SIFT-based image registering
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
WarpPerspective
- 图像透视变换，是一种基础的图像变换算法,常用于图像配准模型。-Image perspective transformation, is a basic image transformation algorithms used in image registration model
SURF的matlab程序
- 基于SURF的图像拼接程序，与传统算法相比，配准精度高，实时性好，代码详细，可以运行。
基于SURF两幅图像的拼接
- 基于vc++6.0环境下，有SURF快速算法实现图像的配准并完成拼接，代码注解详细，拼接效果比较好，实时性也可以。
keren-registration-algorithm
- 基于keren的配准算法，可以实现图像的退化处理和超分辨率重建-Keren based registration algorithm can get the degradation process and the super-resolution image reconstruction.
surf_curvelet
- 通过surf算法进行图像配准，再通过curvelet小波进行图像融合-Image registration algorithm by surf, and then the wavelet image fusion by curvelet
Fast-Registration-Images-
- 基于LIP模型不同亮度级图像的快速配准算法-LIP Model Framework Applied to Fast Registration of Images Acquired a Moving Camera under Variable Lighting
15883828freak
- 应用最新算法freak算法的一个图像配准代码 c++可实现-Apply the latest algorithm freak algorithm image registration codes c++ can achieve
shift
- Matlab编写的图像配准函数,可达到0.01像素精度，并附有算法说明pdf文档-Timage registration function writen by Matlab. It can reach 0.01 pixel accuracy. The algorithm descr iption of pdf document is include.