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红外与可见光图像配准算法(MATLAB版代码)
- 红外和可见光图像配准和融合算法,采用仿射变换(Registration and fusion of infrared and visible images)
LBD_and_LineMatching-master
- 该算法联合了LBD算法和直线配准,对图像进行配准,比单纯的直线配准效率更高(The code realizes LBD and linear registration)
相位配准
- 利用相位相关法对图像进行配准,配准精度可达到0.01(The registration accuracy can reach 0.01 by using phase correlation method.)
互信息图像配准
- 基于图像互信息计算的图像配准方法,互信息为配准带来更高精度(Image registration method based on image mutual information calculation, mutual information brings higher precision to registration)
imagefusion
- 图像配准是拼接技术重要的步骤之一,其配准精度能够直接影响到接来下的图像融合过程,从而影响到拼接图像的质量。因此拼接技术的研究重点是在实现更高精度和可靠性从而保证拼接图像的高品质。具体地说,图像配准是对于一组图像数据集中的两幅图像,通过寻找一种空间变换把一幅图像映射到另一幅图像,使得两图中对应于空间同一位置的点一一对应起来,从而达到信息融合的目的。(Image registration is one of the most important steps in mosaic technology.
RANSAC+SURF
- 基于SURF算法实现图像特征提取与描述,使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration)
红外与可见光图像配准算法(MATLAB版代码)
- malab的红外与可见光图像配准完整代码(Malab's complete code for infrared and visible image registration)
图像配准源码(ncc)
- matlab的图像配准源码,对图像处理理解有帮助(The source code of image registration in MATLAB is helpful for the understanding of image processing)
ICP算法matlab实现
- 很好地实现了激光雷达点云的ICP配准,附带数据(ICP registration of LIDAR point cloud is well realized)
遥感图像配准系统
- 本程序主要对遥感图像实现三种处理:几何校正、图像增强和图像配准。这三种处理都可以独立实现,然而对于原始的遥感图像将这三种处理依次进行效果更佳。(This program mainly deals with three kinds of remote sensing image processing: geometric correction, image enhancement and image registration. These three kinds of processing can