动态背景

GLCM feature 1 for image

代码实现2014ICML文章Motion blur kernel estimation via salient edges and low rank prior，基于显著边缘和低秩先验的运动模糊核估计。(The code implementation of Motion blur kernel estimation via salient edges and low rank prior)

说明：  自相关算法,用于图像处理方面，可以用来处理模糊的图像(Autocorrelation algorithm, for image processing, can be used to deal with blurred images.)

利用偏振片旋转三个不同角度得到的三幅偏振图像，计算求得偏振度图像和偏振角图像及斯托克斯分量图像(Use polarizer is rotated three different angles of the three polarization image, the image of the degree of polarization and polarization angle images calculable and Stokes component image)

运用小波阈值实现图像去噪，同时有小波的分解与重构。(Wavelet threshold is used to realize image denoising and wavelet decomposition and reconstruction.)

说明：  python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)

运用matlab提取视频，显示出视频图像的图像特征，并以柱状图形式显示(Use matlab extract video shows the image feature of the video image, and is displayed in histogram form)

指纹识别 能够快速的识别出指纹库中的指纹，是否与输入的待检测的指纹相同，效果很好(Fingerprint identification can quickly identify the fingerprint of fingerprints, whether the same as the input fingerprint to be detected, the effect is very good)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

这块程序是用来求取圆面和矩形面积的，分为几个子程序。(This procedure is used to strike a round face and a rectangular area, divided into several subroutines.)