Split-Bregman

DOG检测算子，能够构造高斯尺度空间，并检测其中的极值，从而得到有价值的特征点位置(DOG detection operator, the Gaussian scale space can be constructed, and tested one of the extremes, resulting in valuable feature position)

采用SVD方法进行人脸特征提取,希望对大家有用(SVD method using facial feature extraction, in the hope that useful to everybody)

数字图像处理实验——直方图的均衡化，打开图像并实现其均衡化(Digital image processing experiments- histogram equalization, open the image and realize its equalization)

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SP算法，对256*256的lena图处理，比较原图和SP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 SP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

中值滤波，取出奇数个数据进行排序，用排序后的中值取代要处理的数据即可(median filtering.rar)

利用改进的“参考白”算法对彩色图像进行光照补偿(Using improved "reference white" algorithm to compensate illumination of color image.)

数字图像处理之分水岭图像分割法matlab实现源码(Digital image processing of watershed image segmentation method to achieve source matlab)

sift特征提取，提取dense-sift特征，快速，易懂，很不错的(sift feature extraction, extraction dense-SIFT features, fast, easy to understand, very good)

图像拼接，利用互相关函数自动寻找匹配点。(Image mosaic, using cross-correlation function automatically find matching points.)

实现LLE算法，本算法是改进的LLE算法，主要是针对人脸图像的。()