ostufish

说明：  本程序是基于小波和盒维数的车型识别程序，可以选择不同车型，有GUI界面，有图片，有程序，能运行，相信初学者一定能够获益。(This program is based on the wavelet and box dimension of the vehicle type recognition program, you can choose different models, GUI interface, pictures, programs, can run, I believe beginners will benefit.)

raw 数据转换成plant 的yuv 数据，已经测试通过。希望对raw数据进一步处理的同学有帮助。( Raw data is converted into YUV plant data, has been tested through. Hope that the raw data to further deal with the students to help. )

free-vision library,计算机视觉C++库，含有SAMPLE,非常经典！(free-vision library, computer vision C library, containing SAMPLE. very classic!)

实现凸多边形排样，使用临界多边形NFP判断两个凸多边形是否相交,使用启发式算法提高效率(It s a good implement of convex polygon stock.)

这个源代码是用来实现图形之间的基本运算的，包括求交集、并集、差集等等。而且图形的形状也可以任意选择，可以是圆、线段、点、多边形等等。(the source code is used to achieve the basic graphics operations, including for intersection and set difference, and so on. The shape and graphics can choose freely, it can be won, segment, points, polygons, and so on.)

OTSU图像分割快速算法。原创，附参考文献。(a faster version of Otsu s method)

熟悉图像的频域滤波算法、灰度图经FFT 后变到频域、噪声及移除(Familiar image of the frequency domain filtering algorithm, after the change to grayscale by the FFT frequency domain, noise and removed)

这是一本关于超分辨的英文书籍，希望对大家有用1(This is a english book about super-resolution,hope to help you!)

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))

基于sift的图像拼接算法，使用matlab实现(Sift-based image mosaic algorithm implementation using matlab)