POCS-SuperResulution

卡尔曼滤波（扩展方法）定时定位，自己编写调试。(Kalman filter (extension methods) time positioning, write your own debugging.)

在进行图像显著性分析时，要通过PR曲线进行比较不同方法的好坏，这个源码可以实现此功能。(Significantly during image analysis, through PR curves comparing different methods is good or bad, this source can achieve this functionality.)

实现shift算法，进行精确的图像识别，可以抵抗各种旋转、平移、缩放等仿射变换的攻击(Realize shift algorithm, an accurate image recognition, you can resist all kinds of rotation, translation, scaling affine transformation attack)

实现图像的相位相关匹配，该算法有一定的优点于其他算法相比。(images related to the phase matching, the algorithm has certain advantages compared to other algorithms.)

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先用双峰法将细胞图像进行二值化，然后进行分割和癌细胞识别(Bimodal method first cell image binarization, and segmentation and identification of cancer cells)

本代码开发环境为Halcon，主要用于线结构光法提取光条中心！(The code development environment for Halcon, mainly used for line structured light extraction of the light strip center!)

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 .)

PIVlab是一个开源的粒子图像测速（PIV）软件。它不仅能够通过图像对计算出速度，而且能够得到、显示和导出多个参数的流动模式。通过一个友好的图形用户界面（GUI），使得的PIV技术分析和数据后处理更加快速、高效。(PIVlab is an open-source particle image velocimetry (PIV) software. It can not only calculate the speed through the image pairs, but also can get, display and export the flow patterns of multiple parameters. Through a friendly graphical user interface (GUI), the PIV technology analysis and data post-processing are faster and more efficient.)

数字图像处理边缘检测算法VC源码，里面包括多种检测算子(Digital image processing edge detection algorithm VC source code,Which includes a variety of detection operator )