搜索资源列表
Problem3.zip
- stereo matching -sad -ssd -ncc,stereo matching -sad -ssd -ncc
RANSAC-match
- 可以在harris角点检测和ncc粗匹配之后实现精确准确的角点匹配，为下一步配准做准备-Can the Harris corner detection and NCC coarse matching after achieve precise accurate angular point matching, preparing for the next registration
ncc
- The normalized cross correlation (NCC) implemented in C++ and Matlab
CSSNCC
- CSS对边缘图像进行特征点提取然后用改进的NCC算法进行匹配-Using CSS in edge to extract image feature point and then using the modified NCC to match
NCC-and-the-SSDA-based-feature-points-matching-the
- 基于NCC与SSDA的快速特征点匹配融合算法（图像匹配）-NCC and the SSDA-based feature points matching the rapid integration algorithm (matching)
imageMosaic
- 基于Harris角点检测的图像拼接matlab实现， 主要内容包括Harris角点检测，NCC,RANSAC以及2幅图像的拼接-A image mosaicing algorithem which based on Harris corner feature detection achieved in matlab. The main contents include the Harris corner detector, the NCC, the RANSAC and two imag
NCC_Matlab
- 归一化交叉相关图像匹配算法（NCC）的Matlab程序，简单易懂！-NCC code
nCC-matlab-
- NCC算法的matlab的实现，代码简单易懂，只是运行时间稍长。-NCC algorithm matlab implementation, the code is simple to understand, just run a little longer.
PIVlab
- PIV图像处理代码，使用NCC算法，matlab代码，自动生产仿真图片并计算，可以直接运行-PIV image processing code, NCC algorithm, matlab code, automatic production and image simulation calculations can be run directly
template_matching_version1b
- 用于计算SSD算法与NCC算法的特征匹配的MATLAB源代码。-The MATLAB source code used to compute the feature matching of the SSD algorithm and the NCC algorithm.
HARRIS-MATLAB
- 使用Harris角点检测方法进行图像特征点提取,NCC描述的方法进行粗匹配,再使用RANSAC算法进行精匹配。-Using the Harris corner detection method to extract the feature points of the image, the NCC descr iption method performs rough matching, and then uses the RANSAC algorithm for fine matching
harrisandransac
- harris角点检测以及NCC特征匹配MATLAB代码(Harris corner detection and NCC feature matching MATLAB code)
SSD+SAD+NCC算法
- 实现两幅图像匹配。应用SSD+SAD+NCC算法的匹配，很好用的程序(Realizing Two Image Matching.Application of SSD+SAD+NCC algorithm matching, very useful program)
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)