total-variation-denoising

基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力(Hot and difficult of the current research areas of domestic and foreign feature point matching based the SIFT image registration program SIFT feature matching algorithm is its ability to match between the two images, can handle translation, rotation, affine transformation case match problem, even in some degree images taken at any angle with more stable feature matching ability)

基于分形理论的改进的一种图像分割算法,用matlab语言实现(Based on Fractal Theory An improved image segmentation algorithm)

说明：  色彩转移法为灰度图像上色。实现paper“Transferring color to grayscale image”, 通过纹理匹配，找出灰度图像与彩色图像之间的匹配区域，在对应区域进行颜色转移。压缩包内附函数说明。(Color to grayscale color transfer method. To achieve paper &quot Transferring color to grayscale image&quot , by texture matching, gray images and color images to find the matching between the regions, the color shift in the corresponding area. Archive containing the function description.)

c# 底片效果显示图像,就像旧式相机的底片一样

基于蚁群算法的边缘检测,能够准确定位图像的细节和边缘，清晰的再现图像的轮廓(An Ant Colony Optimization Algorithm For Image Edge，could position the edge of image pricisely .)

分别用kmeans、fcm、kfcm实现图像分割(use kmeans, fcm and kfcm segment image)

region wise image segment

人脸检测：可自动检测人脸，速度还可以吧！(Face Detection : can automatically detect faces and can also speed!)

对图像分块,计算每个块的均值和方差,并给出了结果的图象化表示,易于观察(Image sub-blocks, each block calculated the mean and variance, and gives the results of the image that is easy to observe)

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.)