一个生成缩略图的类，按照说明操作即可。 这是真的

图像 稀疏分解方法 Random Sampling of Sparse Trigonometric Polynomials II - Orthogonal Matching Pursuit versus Basis Pursuit - (Preprint arXiv:math.CA/0604429) by Stefan Kunis and Holger Rauhut-Image sparse decomposition method Random Sampling of Sparse Trigonometric Polynomials II- Orthogonal Matching Pursuit versus Basis Pursuit- (Preprint arXiv: math.CA/0604429) by Stefan Kunis and Holger Rauhut

用Matlab编写的小波去噪 估计对大家有用，喜欢的就下载吧-Prepared using Matlab wavelet denoising estimated useful for all of us, like on the download bar

一个目标检测识别的matlab程序，用于初学者使用matlab编程，用的比校全面-Identification of a target detection matlab program for beginners to use matlab to program than the school used a comprehensive

基于Hough圆变换算法，在图像中寻找圆形-Based on the circular Hough transform algorithm to find the image circle

最快和最好用的多边形裁剪算法-fastest and the best use of polygon clipping algorithm

是一个有关阈值选择的程序，可以用于图像二值化等，我用过了，可以用，效果不错

此题是用最近邻域法实现图像缩放，供菜鸟练习用，这种算法不高清-This problem is the nearest neighbor domain method to achieve image scaling for the rookie practice with, this algorithm does not high-definition

线性时不变化图书馆是一个面向对象的计算机视觉库在C + +编写的Windows /的MS - VC + +和Linux的/海湾合作委员会。它提供了很多功能来解决数学问题，许多图像处理算法，一些分类的工具-LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...

一本MATLAB书籍的代码，主要可以帮助刚学习图像处理的同志做参考用。-A MATLAB code books, mainly to help the comrades just to learn to do image processing reference.

These are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assumption that the same dimensionality is considered. In experimental parts, on one hand, we confirm the validity of our claim and show the matrix-based methods are not always better than vector-based methods in the small sample size problem on the other hand, we compare several distance measures when the feature matrices and feature vectors are adopted.