imnoise

非局部均值滤波 输入: 待平滑的图像 t: 搜索窗口半径 f: 相似性窗口半径 h: 平滑参数 NLmeans(ima,5,2,sigma) (Non-local mean filtering input: to be a smooth image t: the search window radius f: similarity of the window radius h: smoothing parameter NLmeans (ima, 5,2, sigma) )

基于matlab的保偏光纤环零漂的影响仿真，从原理上探究单模光纤扭转对光纤角速度传感器零漂的影响。(Matlab-based polarization maintaining fiber ring zero drift effects simulation, in principle, to explore the fiber single-mode fiber to reverse the impact of the angular velocity sensor zero drift.)

本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性(This procedure acts with quantum particle swarm optimization training support vector machines, and IRIS data to verify the effectiveness of the method)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ROMP算法，对256*256的lena图处理，比较原图和ROMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and ROMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using ROMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

图像拼接程序，可以实现几幅图像的拼接，其原理是基于Lowe教授提出的SIFT特征算法。该方法非常有效，通过两两图像进行配置后，采用融合技术，得到拼接后的全景图(This is code for image mosaic based on SIFT algorithm，it is very useful for learning image process.)

图形的剪裁算法源码，visual c++源码(The graphics cut algorithm source code, visual c++ Source)

基于DCT域的鲁棒水印，能抗击一定程度的压缩，剪切等攻击(Based on the DCT domain robust watermarking, can fight against a certain degree of compression, shear, such as attacks)

LBP（局部二值模式）特征提取，用于人脸识别，(LBP feature extraction for face recognition. . .)

核自适应滤波算法krls的matlab程序。已将klms算法弄成函数，加载即可使用。(Nuclear adaptive filtering algorithm krls matlab program. Klms algorithm has inflicted function, load can be used.)

实现了三种图像匹配算法 1：归一化互相关匹配算法 2：基于Hausdorff距离的图像匹配算法 3：图像不变矩匹配算法(Implements three image matching algorithm 1: normalized cross correlation matching algorithm 2: image matching algorithm based on Hausdorff distance 3: The image matching algorithm invariant moments)