形态学滤波

基于DCT,DFT,DWT等的水印算法，还有加置乱的水印算法，用于图像处理方面(Based on the DCT, DFT, DWT, such as the watermarking algorithm, as well as increase the watermark scrambling algorithm, for image processing)

点云关键点搜索，根据曲率极值法搜索关键点(PCL:keypoint detection, used for registration and segmentation)

车辆牌照识别，比较简单的识别系统，可能由于数据库的不足，导致其还存在一些误差(Vehicle license plate recognition, a relatively simple recognition system, may be due to the lack of database, resulting in some errors.)

这是一个关于图割算法（graphcut）的MATLAB代码实现的。实现了用MATLAB来实现的参数估计，并且可以用于三维重建。(Here is a graph cut algorithm (graphcut) of the MATLAB code implementation. Achieved using MATLAB to implement the parameter estimation, and can be used for three-dimensional reconstruction.)

本算法需要两幅或多幅不同偏振角度的有雾图像，应用暗通道算法估计大气光强，最终所得的图像去雾效果较好(Fog fog removal based on polarization information)

图像融合中常用的评价指标（非常全面）如：平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。(Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio, root mean square error, spacefrequency, standard deviation, mean, distorting the degree of deviation index.)

说明：  转载的，通过眨眼前后灰度图对比是别人眼，一个学习opencv工具的好例程。(Reproduced by blinking eyes of others around the grayscale contrast, a learning tool opencv good routine.)

采用基于信道非均匀性校正改进的RLS算法实现对探测器的非均匀性校正(An improved RLS algorithm based on channel nonuniformity correction is used to correct the nonuniformity of detector.)

用小波工具箱函数实现小波包的分解与重构，非常适合与机械故障特征提取。(Wavelet packet decomposition and reconstruction, and is ideal for mechanical fault feature extraction using wavelet toolbox functions.)

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)