Niblack

本程序实现灰度图像各向异性扩散(Anisotropic Diffusion)滤波算法，可以用于平滑信号，保留边缘，增强边缘对比度。与普通高斯Gaussian算法相比，它不会平滑边缘的图像。(The program implements grayscale image using anisotropic diffusion filtering algorithm.It can be used to smooth the signal, keep the edge, enhance the edge of the contrast. Compared with ordinary Gaussian algorithm, it does not smooth the image edges.)

说明：  Kirsch算子边缘检测代码，计算了八个方向的梯度值(Kirsch operator edge detection code)

中值滤波：采用5*5窗口对噪声污染的图像进行去噪处理。(Median filter: 5* 5 window on the noise pollution to deal with the image de-noising.)

人脸检测 通过肤色建立模型，和计算欧拉数开运算等一系列处理可以检测出同一张图片中的多个人脸！效果不错哦(face detection through color model building, and calculation of Euler number opened a series of processing operations can be detected with a picture of the personal face! Oh, good results)

改进非极大抑制的CANNY算子检测代码，能够比原来的CANNY算子更准确(Improved CANNY operator detection code for non-maximal suppression can be more accurate than the original CANNY operator)

目标跟踪，使用基于颜色特征的粒子滤波跟踪算法。使用方便，较精确的实现目标跟踪功能(Target tracking using particle filter based on color feature tracking algorithm. Easy to use, more accurate tracking goals)

基于粒子滤波和卡尔曼滤波的运动目标视频跟踪程序，非常强大和实用，强烈推荐学习使用。(Kalman filter based on particle filter and target video motion tracking program, very powerful and practical, it is strongly recommended to learn to use.)

本文讲述了一种基于图像颜色直方图的图像相似度的度量的方法,。并用Matlab实现，有源代码(This article describes a method based on the image color histogram image similarity measure. And using Matlab, source code)

新一代的arnold图像之乱变换算法，文件中详细说明了代码的含义，达到一定迭代次数后图像可以复原，是学习图像加密同学的必备代码(The chaos of a new generation of arnold image transformation algorithm, the paper detailed the meaning of the code, after a certain number of iterations the image can be restored, is essential for students to learn the code image encryption)

Digital Image Correlation (DIC) is an optical, non-contact method to measure full-field displacements and strains. The only requirement is that the test specimen has a random speckle pattern on its surface, either generated by the experimentalist (i.e. random paint pattern) or occurring naturally (i.e. surface texture at large magnifications). There is no inherent length scale to DIC - by choosing the appropriate magnification of images and the corresponding speckle size, DIC can be used to measure displacements from the meter scale to the micron scale.