经典边缘检测

sift 的c++代码。。。。。。。。。。。。(sift c++ code)

说明：  基本卡尔曼滤波算法，用于目标跟踪，适用于毕业论文设计及工程人员参考 这个比较简单 易懂(The basic Kalman filter algorithm for target tracking, for design and engineering thesis is simple and easy to understand this reference)

说明：  matlab源程序 纹理图像分割 利用小波变换提取系数(matlab source texture image segmentation using wavelet transform coefficient extraction)

基于最小相位雷克子波反褶积的matlab程序，有脉冲反褶积，最小平方反褶积和预测反褶积(Matlab program based on the the Leike Zi wave pulse deconvolution)

胶囊缺陷检测，通过图像处理，排除缺陷，检验胶囊是否合格(Capsule defect detection by image processing, eliminate defects, inspection capsules are qualified)

基于C++MFC平台进行NDVI计算、最小距离分类、K均值分类，BP神经网络分类等以及精度评价(Based on C++MFC platform, NDVI computing, minimum distance classification, K mean classification, BP neural network classification and accuracy evaluation are carried out.)

复数乘法实现图像旋转，并且运用插值对旋转后的图像优化(Complex multiplication of image rotation, and the use of interpolation of the rotated image optimization)

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) )

数字图像处理中的散度特征空间中的无监督的图像纹理分割(Digital image processing in the feature space of divergence Unsupervised texture segmentation of images)

人脸图像配准，将同一场景的两幅或多幅图像进行对准，可以实现人脸归一化(Face image registration, the same scene two or more images for the alignment can be achieved face normalization)