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一种光学测试的算法，有助于全面分析激光大气传输特性及其对光电系统性能的影响，希望对大家有帮助哦(An optical testing algorithm, which helps to fully analyze the characteristics of laser propagation in the atmosphere and its impact on the performance of photovoltaic systems, we want to help oh)

VS 环境下利用opencv 实现图像的傅里叶变换，输入图片，保存输出结果。(Under VS environment use opencv to achieve image Fourier transform, the input image and save the output.)

图像的二值化处理程序，用于Visual c++中(Binary image processing program for Visual c++ in)

一种二值图像连通区域标记方法，能用于目标跟踪，我已经应用过，效果不错。(It is a new connected componet labeling algorithm for binary image,and can be used in object tracking. It is effective to be proved.)

This program draws an image from a bmp file

说明：  利用vc++实现avi文件图像截取，avi图像即视屏图像(Use vc++ Achieve avi file image capture, avi video image that is, images)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

实现一些图像的编辑功能，比如图像的打开，关闭，新建，删除，反转，等一些功能(Implement some image editing features, such as the image open, close, create, delete, reverse, and some other functions)

实验一 直线生成算法 实验二 圆弧生成算法 实验三 窗口菜单交互界面 实验四 区域填充算法 实验五 裁剪算法算法 实验六 图形软件开发包/库应用 实验七 曲线的生成算法 实验八 曲面生成算法 实验九 二维图形变换(Experimental line generation algorithm experiment two arcs to generate the algorithm experimental three-window menu interface experiment four regional filling algorithm experimental five-clipping algorithm algorithm experiment six graphics software development package/library application experiment seven curve generation algorithm experiment eight surface generation algorithm experiments ninety-two dimensional graphics transform)

基于Sift算法开发商标图案匹配程序，(1)各个CBIR模块及其技术； (2)Sift算法及其在图像匹配、目标识别中的应用； (3)Sift算法在图像检索中的应用。 (Sift algorithm development based on pattern matching program mark (1) Each CBIR module and its technology (2) Sift algorithm and its application in image matching, object recognition application (3) Sift algorithm in image retrieval applications.)