GoDec

该程序主要用于图像处理中直方图均衡化，语言环境VC++(The program is mainly used for image processing, histogram equalization, the language environment VC++)

目标运动的真实轨迹和估计轨迹，以及所进行的误差分析(Target motion trajectory and estimate the true trajectory, and error analysis conducted)

基于纹理度量的图像分割，适用于遥感图像，利用到K-mean算法(texture measurement based on the image segmentation, applicable to remote sensing images, the use of K-mean algorithm)

先将字符串转化为像素图，再将像素图还原成二维数组。将二位数组转化为布尔数组。然后用一个顺序结构，第一帧放入比较程序，即显示汉字并闪烁程序。第二帧循环移位程序。第三帧屏幕关闭程序。(First string into a pixel map, and then reduced to a two-dimensional array of pixel map. The two-digit group into a Boolean array. Then a sequential structure, comparing the first frame into the program, the program that displays characters and flashes. The second frame cyclic shift procedure. The third frame of the screen to close the program.)

说明：  这是一个用C++语言实现一个指纹识别程序，要求满足FVC国际竞赛标准，并在学校建立的指纹库上实测。程序里应用到的技术有：中值滤波、直方图均衡化、脊线方向提取、Gabor滤波、指纹细化、特征提取、特征点过滤、基于局部特征点的特征匹配(This is a C++ Language realization of a fingerprint identification procedure, the requirements FVC meet international competition standards, and established in the school library on the measured fingerprint. Program applied to the technology are as follows: median filter, histogram equalization, the direction of the ridge line extraction, Gabor filtering, fingerprint thinning, feature extraction, feature point filtering, based on local feature points of the feature matching)

fourier desing analog very bast

说明：  基于opencv的支持向量基（SVM）的代码，利用SVM解决2维空间向量的3级分类问题。(Opencv-based support vector machine (SVM) of the code, the use of SVM to solve 2-dimensional vector space of three classifications.)

图像拼接的matlab实现，内含有算法的设计文档和源程序等(Matlab implementation, image stitching algorithm design documentation and source code contains)

细菌觅食算法与粒子群优化算法相结合的程序，可以实现适应度函数的最值计算，有很好的参考价值。(Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.)

说明：  SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))