改进的水平集方法，采用C_V模型进化。为多相位

二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快。-Two-dimensional empirical mode decomposition, the use of morphology for extreme points, Radial Basis Function Neural Network Fitting, faster.

图像的锐化及边缘检测，现在我正在做图像处理，有问题大家一起看-image sharpening and edge detection, now I was doing image processing, and it is watching you

c++编写，用于人脸检测，代码分模块编写，可供参考-c++ to prepare for face detection, code preparation of sub-module is available for reference

人脸识别系统,你需要按照菜单一步一步才能实现识别!值得一看!-face recognition system, you need to step by step in accordance with the menu can be achieved recognition! An eye-catcher!

视频人脸跟踪识别算法研究 硕士论文 -Video face recognition algorithm to track a master

自作的基于K-L的人脸识别源代码，谢谢指点-KL-based self-face recognition source code, Thank you, pointing

有关医学图像处理的几篇论文，自己搜集的，希望能给大家提供帮助-Medical image processing related to several papers that he collected, I hope everyone can help

实现了图像参数的获取，中值滤波，迭代阈值分割，半阈值分割等等图像处理功能-Realize the image parameters of the acquisition, median filtering, iterative threshold segmentation, semi-threshold segmentation image processing functions, etc.

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。-simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.

图像处理，如何建立模版和进行模版的匹配， 快速地进行运动目标地识别-Image processing, how to create templates and template matching, quickly moving target to identify