optical

序列图像中运动小目标检测跟踪，实用性很强，张天序教授的硕士生撰写的学位论文(Image sequences small moving target detection and tracking, very practical, Professor Zhang Tianxu of graduate students writing dissertations)

说明：  压缩感知的经典代码，包括观测，稀疏表示，重建，其中观测用的高斯观测矩阵，稀疏用的DCT，重建用的OMP算法(Compressed sensing of the classic code, including observations, sparse representation, reconstruction, observed with a Gaussian observation matrix, sparse use of the DCT, re-use of the OMP algorithm)

英文原本经典计算机图形学教程，PPT格式，很好的学习材料和上课资料(English was the classic computer graphics course, PPT format, good learning materials and school information)

powell刚性图像配准，c++代码，通过查找非相关方向进行配准.(Polwell rigid image registration, c++ code, by looking for non-related directions for registration.)

程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

讨论了OpenCV(Open Source Computer Vision Library)相对于现有的计算机视觉软件包所具有的优势，描述了OpenCV的 环境配置、数据定义、图像元素访问方式。OpenCV成为一种源码开放、包含丰富的高级数学计算函数、图像处理函数和计算机视觉 函数、不断更新和平台无关性的计算机视觉软件包。(Discussed the OpenCV (Open Source Computer Vision Library) relative to the existing computer vision, the advantages of packages, description of OpenCV environment configuration, data definition, the image element access mode. OpenCV become an open-source, contains a wealth of advanced mathematical calculations, functions, image processing functions, and computer vision functions, continuously updated, and platform-independent package of computer vision.)

说明：  用数学形态学滤波进行图像处理或者信号降噪，（包括膨胀和腐蚀）(Image processing or signal noise reduction using mathematical morphological filtering (including expansion and corrosion))

主动轮廓模型结合一个特殊的显著性方法实现目标分割(using active contour with a special salient detction modle to segment an image )

二值图像连通域分析，和MATLAB中bwlabel函数功能相似(Connected domain analysis of binary image, and bwlabel similar function in MATLAB)

二值化处理图像，自动拟合椭圆并得到长短轴的大小。(Automatically fit the ellipse and get the size of the long and short axes)