CameraSelfCalibrationBasedOnKruppa

利用傅立叶变换和相位相关法来检测图象的区域复制伪造(Use of Fourier transform and phase correlation method to detect forged images of the regional replication)

图像去噪处理的TV全变分模型的Matlab代码实现(TV image denoising processing model of the entire variational Matlab code)

从一幅多个细胞的图像中，分割出单个的细胞，一个细胞一个小图。(more than one cell from the image, segmentation of individual cells, a cell a small map.)

Graph Cutshi是最近在计算机视觉中研究和应用比较多的优化算法，典型的用于stereo matching, image restortion, texture synthesis等应用，以上代码给出了graph cut，mean shift, 以及相关的ppm/pgm图像借口，本来是用于stereo matching的，已经把相关的matching的实现代码给去掉了。大家可以以此为平台做一些相关的研究和应用。 (Graph Cutshi recently in computer vision research and application of a relatively large number of optimization algorithms, typical for the stereo matching, image restortion, texture synthesis applications, the above code gives the graph cut, mean shift, and the associated ppm/pgm images an excuse, it is used for stereo matching, and has been related to matching the code to realize removed. U.S. can also be used as a platform to do some related research and applications.)

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 .)

Assembly code for interfacing a 7segment that display a random Letters.

硕士学位论文:在高分辨率成像声纳系统和回波测深仪的两个控制平台的基础上对声纳图像数据的高速显示技术的研究。文中所有的程序编写都是使用C和C++语言，在WindowsXP平台下利用VC++6．0进行编译和调试的。(study for high speed display technology on sonar image data)

使用matlab对医学图像进行处理，不同去噪方法结果的对比。(matlab image nosing)

说明：  自由曲面光学透镜的图像变换面形测量系统与精度建模(Free-form optical lens image transformation shape measurement system with precision modeling)

用块匹配法求超分辨率复原中的运动矩阵!提出了一种快速，半像素的三步法！(Block-matching method using super-resolution recovery of movement in the matrix! Presents a fast, three-step half-pixel!)