FRFT

图像边缘检测，实现了几种边缘检测算法，像Roberts，Sobel，Prewitt，Canny等(Edge detection, edge detection algorithm to achieve several, such as Roberts, Sobel, Prewitt, Canny, etc.)

c#取取图像，并处理和显示结果。HALCON,.(c# Take proper image, and the processing and display of results. HALCON ,.)

该程序主要是对一幅图像进行动漫风格化 总体上，把照片变成动漫化风格分以下几步： （1）膨胀图片让其亮暗分明 （2）区域平滑 （3）增强锐化，以突出显示边缘线条。(The program is mainly a cartoon style animation style On the whole, take the photo into the animation style and divide the following steps. (1) the expansive picture makes it bright and dark (2) regional smoothness (3) sharpening to highlight the edge lines.)

获取系统进程信息源码，程序结合易语言模块斩月_图像相关模块.ec，调用API函数实现屏幕差异传输。(Get system processes information source , combined with easy language module program _ Zangetsu image correlation module .ec, call the API function screen difference transmission .)

ROA和CANNY结合的算子,图像效果还行吧(it combine the CANNY and the ROA，the result shows it was perfect)

实现边缘特征提取的功能有很强的特征提取功能能够边缘特征进行提取(Edge feature extraction to achieve the function of the characteristics of a strong edge feature extraction functions can be extracted)

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

对应鬼成像算法，快速并且简洁，做鬼成像的朋友不要错过(Corresponding ghost imaging algorithm, fast and simple, do not miss the ghost imaging friends)

卡尔曼滤波在目标跟踪中应用仿真研究 简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。(Kalman filter target tracking simulation study brief discussion of the Kalman filtering method to predict a single target track, and by means of Matlab simulation tools to evaluate the effect of the experimental.)

匹配追踪的主程序,用原子与信号内积的方式，对波包进行分解，再进行时频分析(match persuit)