ppkd

用于植物叶片分类的图形界面,是Matlab源码，用BP神经网络实现(For plant leaf classification graphical interface, the Matlab source code, using BP neural network)

说明：  对于双基地SAR，使用BP算法进行成像，展示场景、回波信号、距离压缩后以及最后成像的图像。(For Bistatic SAR, BP algorithm is used to image the scene, echo signal, range compression and the final image.)

opencv SIFT源码详细分析，代码能够准确实现(opencv SIFT detailed analysis of the source code can achieve accurate)

Downsample image console program using opencv.

kmeans算法实现，对图像处理。亲自使用过，可用，供参考。(Kmeans algorithm for image processing.)

实现阈值图像分割，用全局阈值，OTSU和迭代法求阈值(Achieve the threshold image segmentation, the threshold required by the global threshold, OTSU and iterative method)

Unix系统下，小波包变换的实现源码实例，，当然，稍作改动也可用于windows系统下。 (Unix systems, the instance of the wavelet packet transform source, of course, some minor changes can also be used in the windows system.)

能将一幅灰度图像根据用户自己给定的彩色图像将其对应的转化为真彩色图像。(Gray image can be processed into rgb image.)

说明：  可以通过光流法来检测运动的目标，具有很好的效果，适合新手了解(It can detect moving target by optical flow method, and can detect moving target by optical flow method, which has good effect and is suitable for novice to understand)

时移相位差校正法，通过时移，进行前后两次FFT分析，利用离散频谱对应峰值谱线的相位差以求出频率和相位校正量。(Phase difference correcting method by time-shifting. Make two FFT analysis before and after the time-shifting,and make use of the phase difference of the peak spectral lines to get frequency and phase correction amount.)