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低信噪比下红外弱小目标的检测与跟踪，采用的是基于粒子滤波检测前跟踪算法。(Low SNR infrared small target detection and tracking using front tracking algorithm based on particle filter detection.)

本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)

说明：  图像处理小工具箱，包括中值滤波，高斯滤波，均值滤波，canny边缘提取等小程序(Image processing toolbox, including median filter, gaussian filter, mean filter, canny edge extraction and other small procedures)

粒子滤波的五个经典例子，需要的赶紧下，对与学习部分内容很有帮助(Particle filter five classic example of the need to hurry, the right part of the contents and learning very helpful)

内置虑镜功能，包括获取图像的属性，锐化，模糊，浮雕等功能． 可以缩放，优化图片．打开图片带预览功能,使用了gdiplus,能处理gif,bmp,jpg,png图片,处理速度也不错，呵呵,一直找图形格式转换的朋友就不需要东找西找了，它完全可以实现你的需求！ (Built-in lens into account features, including access to the properties of the image, sharpen, blur, emboss and other functions. Can be scaled to optimize picture. Open the image with the preview function, use the gdiplus, can handle gif, bmp, jpg, png images, the processing speed is not bad, huh, huh, graphic format conversion has been looking for friends do not need to look east and west, and it can achieve your needs!)

采用相邻一定距离的邻域图像差，提高了抗干扰能力，对亮度变化不敏感(Matching based on neighborhood difference feature)

该函数是用于计算峰值信噪比和信噪比的程序(it can be used to calculate psnr and snr)

三维重建过程中常见的算法源码，效果良好，适合基础学习(3d reconstruction reconstruction)

将图片转化为BMP位图，然后通过逐行扫描识别图片中的数字。(A picture into a BMP bitmap, and then through the progressive scanned image in the figure.)

基于压缩感知理论的目标跟踪算法，实现对可视目标的稳健跟踪(Target tracking algorithm based on compressed sensing theory)