资源列表
图像拼接技术
- 利用sift算法提取两张图像的特征点，利用ransac去除误匹配，最后将两张图片拼接在一起(Using sift algorithm to extract the two feature points of the image, the use of ransac to remove the wrong match, and finally the two pictures together)
yeng_kc65
- Related impulse response analysis algorithm and inspection, Add noise processing, Interpolation and fitting matlab implementation.
SR_NE_ANR
- 超分辨率中的ANR算法代码实现,较为详细(super resolution algorithm called ANR)
AplusCodes_SR1
- Aplus超分辨率算法第一部分，需要与第二部分放在同一个文件夹可运行(super resolution algorithm called Aplus part one)
sift
- 基于C++的sift算法，可以用于图像特征点的检测(SIFT algorithm based on C++)
matlab小波分解时频分析
- 传统的傅立叶变化只能分析时域、频域图，而小波变化能进行时频分析，对信号进行更好的处理。(The traditional Fourier transform can only analyze the time domain and frequency domain diagram, while the wavelet transform can carry on the time-frequency analysis and better deal with the signal.)
2.2 图像分割技术
- 基于matble数字图像处理,迭代法阈值分割，灰度处理(digital image processing)
几个基于openCV开发的手势识别代码
- 获取轮廓凸包。OpenCV自带的工程，及之前提到的OpenCV轮廓凸包检测里面有很详细的解释(Contour convex hull. OpenCV comes with the project, and previously mentioned OpenCV contour convex hull detection, which has a very detailed explanation)
0364
- Including scr ipt files and function files in the form, Clustering analysis based on Euclidean distance, Nonlinear discrete system identification.
新建文件夹
- 开始选择一个与之作为初始估计值，按照某种规则更新估计值，直至满足给定条件，此种方法迭代迅速收敛，每次迭代结果优于上次迭代(By choosing one as the initial estimate and updating the estimate according to some rule until the given condition is satisfied, the method converges quickly, and the result of each iterati
matlabHyperspectralToolbox-master
- 目标检测物质丰度图（MAM）生成光谱解混合自动处理更改检测可视化读取/写入文件(Target detection Material abundance map (MAM) generation Spectral unmixing Automated processing Change detection Visualization Reading / writing files)
123
- 在树莓派3b的硬件开发板上。可实现人脸检测人脸识别功能，识别率达到85%(On the raspberry pie 3B hardware development board. Face recognition, face recognition function, recognition rate of 85%)