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chan和vese的多水平集算法，可以用2条初始水平集来演化，从而达到检测多目标的目的。(chan and the multi-level set algorithm, you can use two sets to the initial level of evolution, so as to achieve the goal of multi-purpose.)

基因演算法, ~和吃飼料的演算法, e面的 ~吃到飼料會越來越快,(The genetic algorithm, the algorithm for eating feed, the e-plane algorithm for eating feed is getting faster and faster.)

c# 饼形图分析公司男女比例 附源码

曲波变换的matlab图像处理工具箱。用于图像处理及增强(contourlet_toolbox,for image processing and enhancement)

图像拟合圆并标记圆心坐标，有需要的同志可以参考(The image is fitted to the circle and the center coordinates are marked)

说明：  利用算数编码基本原理及其实现步骤，通过MATLAB实现算数编码。(Using the basic principle of arithmetic coding and its implementation steps, arithmetic coding is realized by MATLAB.)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)

彩色图像边缘检测（canny 算子，高斯窗口可调）(image edge detection [canny])

这个程序是马尔可夫的图像分割程序 对于初学者学习马尔可夫分割图像有帮助(This program is a Markov image segmentation program for beginners to learn Markov image segmentation helpful)

说明：  利用其中不同的光谱匹配算法实现光谱匹配，内部还含有相关数据(Using different spectral matching algorithms to achieve spectral matching, there are also relevant data inside)