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基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 (Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixels, that is, to converge to the same point as a starting point to the category and then assigned to this type of labeling of these starting points, at the same time to contain too few pixels to remove the category. Then, using thresholding segmentation method of binary image processing)

SIFT和旋转不变LBP 相结合的图像匹配算法(数字图像处理/图像匹配）(SIFT and LBP combined rotation invariant image matching algorithm (digital image processing/image matching))

HDR图像生成的算法，很实用和有效。利用多帧不同曝光时间的图像合成HDR的图像。(Algorithm of HDR image generation)

说明：  一个图像变换程序，检测人脸，并剪切出需要的部分(An image transformation program, change the pixel size, cut out part of the required)

Matlab版改进的sobel算子边缘检测算法，有效减少边缘断点(Matlab version improved sobel operator edge detection algorithm is effective in reducing edge break)

利用LabViev设计虚拟消噪器，利用小波对信号进行分解，然后设定阈值，再对小波进行重构。(Denoising using LabViev virtual device design, the use of wavelet signal decomposition, and then set the threshold value, then the wavelet reconstructed.)

色彩空间转换，支持RGB, YUV, HSV, HSL, Lab, Luv等格式(Color space conversion, support for RGB, YUV, HSV, HSL, Lab, Luv, etc. formats)

针对各类分数阶混沌系统进行同步，数值仿真结果证明系统的稳定性(Numerical simulations show that the system is stable for all kinds of fractional order chaotic systems.)

一个不错的人脸检测演示系统里面有人脸检测的实际照片包+(face detect system)

Image feature extraccting using sift