masksample

实现了图像的加水印，去噪，加噪声等功能，部分实现了追踪测速迭代松弛算法，独立成分分析算法降低原始数据噪声。( Realize image watermarking, de-noising, plus noise and other functions, Partially achieved tracking speed iterative relaxation algorithm, Independent component analysis algorithm reduces the raw data noise.)

说明：  模糊分割，基于混沌粒子群以及二维直方图的斜分阈值分割(Fuzzy partition, based on chaotic particle swarm and the oblique two-dimensional histogram thresholding)

说明：  SMD,Brenner,Robert,EOG,Sobel算子图像清晰度计算(SMD,Brenner,Robert,EOG,Sobel,evaluation function)

在视频文字检测以及提取方面，比较好的参考论文，大家可以下载参考！(Video text detection and extraction, a good reference papers, everyone can download the reference!)

红外和可见光图像配准和融合算法，采用仿射变换(Registration and fusion of infrared and visible images)

基于模板匹配的另一种人脸识别的算法，很实用，利用肤色建模来建立人脸皮肤模型(Another based on template matching algorithm for face recognition, very practical, using skin color modeling to create a human face skin model)

我收集的提取Zernike矩的程序，并且自己稍微改动了一下，效果还可以。(I collected from Zernike Moments procedures, and their slightly altered for a moment, the effect can be.)

1.打开左右两张影像2.Harris算法提取同名点3.显示提取同名点（若要进行下一步匹配则不建议显示，这里只是用于查看是否提取出）4.相关系数匹配（只在找出的同名点内匹配）5.LSM最小二乘匹配（先进行粗匹配，再精匹配）(1 Open the left and right images 2.Harris algorithm to extract two tie points 3 shows the extraction of corresponding points (not recommended to proceed to the next match show, here is used to see if extracted) 4. Correlation coefficient matching (just looking match within a point of the same name) 5.LSM least squares matching (rough first match, then fine match))

单帧图像超分辨率重建。对于学习超分辨率重建很有帮助。(Super-resolution reconstruction of single frame image.It is helpful for learning super-resolution reconstruction.)

说明：  matlab2016b编写的调用了库函数的混合高斯背景建模源代码。(The source code of Mixture Gauss Background Modeling which calls library function is written by MATLAB 2016b.)