Phase_Unwrapping_2D

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.)

国外网上找的自适应阈值分割的源程序，测试过，好用。 可以下载(abroad to find online adaptive thresholding segmentation of the source, tested and ease of use. Can be downloaded s)

针对多聚焦图像融合，采用基于小波分解和点扩展函数模型PSF相结合的融合方法。(For multi-focus image fusion, based on wavelet decomposition and the point spread function PSF model combining fusion.)

下面是利用卡尔曼滤波的方法，实现雷达对目标的跟踪:一目标沿水平方向运动，起始位置为（－2000米，1000米），运动速度为15米/秒，扫描周期T＝2秒， 米，采用蒙特卡洛方法对跟踪滤波器进行仿真，仿真次数为100次。(Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the starting position (2000m, 1000m), the motion speed of 15 m/s, the scan period T = 2 seconds, rice, Monte Carlo method using the tracking filter simulation, simulation 100 times.)

图像去雾代码，参考文献《An Investigation of Dehazing Effects on Image and Video Coding》(matlab code for dehazing，reference：<An Investigation of Dehazing Effects on Image and Video Coding>)

《数字图像处理（第三版）》课后习题答案，作者冈萨雷斯(Answers to Exercises after Class of Digital Image Processing (Third Edition),author Gonzalez)

说明：  对于低照度图像，或是模糊不清的雾天，雨天等图像，本算法都能很好的恢复它的清晰度(For the low illumination images, or blurring of the fog, rain and other images, the algorithm can be very good clarity to restore it)

在产生混沌伪随机序列的混沌映射中，Logistic映射(Logistic Map)是一种简单而经典的映射。其中u称为分形参数，随着u逐渐增大，出现倍周期分岔现象。可用于密文域图像加密。(Logistic Map is a simple and classical mapping for generating chaotic pseudo-random sequences. U is called fractal parameter, and with the increase of u, period doubling bifurcation occurs. It can be used for image encryption in ciphertext domain.)

这本教科书，介绍了稀疏和多余的申述，对信号和图像处理应用的重点。的理论和数值基础处理前的应用进行了讨论。信号源的数学建模一起讨论如何使用适当的模型，如去噪，恢复，分离，插值和外推法，压缩，采样，分析和合成，检测，识别，多任务。这次报告会是优雅和迷人的。(Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing )

求图像的二维直方图，产生共生矩阵，可以比较像素点分布的是否均匀。(Two dimensional histogram for image, the co-occurrence matrix, can compare the pixel distribution is uniform.)