edge_ACO

视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target detection 3. Mean Shift tracking method 4. Gravity multi-target tracking method)

一种基于稀疏表示的图像融合方法，基于论文《Information Fusion》论文Joint patch clustering-based dictionary learning for multimodal image fusion 进行编写 结果相似(A sparse based image fusion method. It is based on paper Joint patch clustering-based dictionary learning for multimodal image fusion of Information Fusion The results is almost the same to this paper)

亚像素边缘检测，对图像的边缘检测达到亚像素级别(Sub-pixel edge detection, image edge detection to sub-pixel level)

说明：  基于自组织神经网络数据及图像处理，在图像分割中应用极强。很好的源程序。 (Self-organizing neural network-based data and image processing, image segmentation in the application of highly. Very good source.)

自适应中值滤波，对图像的椒盐噪声有很好的滤除效果，非常不错的程序(Adaptive median filter, the image of the salt and pepper noise filtering effect of a very good, very good procedures)

非局部均值滤波 输入: 待平滑的图像 t: 搜索窗口半径 f: 相似性窗口半径 h: 平滑参数 NLmeans(ima,5,2,sigma) (Non-local mean filtering input: to be a smooth image t: the search window radius f: similarity of the window radius h: smoothing parameter NLmeans (ima, 5,2, sigma) )

在C语言下成功实现读取并显示bmp格式的图像。(Successfully read and display BMP format images in C language.)

基于分水岭自动选取种子的区域生长来进行彩色图像分割(Automatically selected based on the watershed to the seed region growing for color image segmentation)

DOCX Parser, extracts inline images quiz

本程序基于近景摄影测量，单片空间后方交会算法完成，用C++代码编写，内含有样本数据，以供试验。运行正常，注释完整。(This procedure based on the close shot photogrammetry, monolithic space resection algorithm, contains sample data, and written in c++ code for test. Running normally, notes complete.)