图像比对是以原件的图像为基准，对待鉴定件图像进行预处理、定位、配准；再对原件及待鉴定件的图像进行相似度比对；计算出两者的相似度数值。...

在多变型图像处理中，对各层高频系数进行阈值Wiener处理-In the changeable-type image processing, high-frequency coefficients of the layers Wiener treatment threshold

模式识别的特征识别可有多种方法，同时每种方法都有着一定的局限性，这里给出一种比较通用的方法来进行识别-Pattern Recognition feature recognition can have a number of ways, while each method has certain limitations, here given a more general approach to identify the

一个基于块的纹理合成matlab源码程序-A block-based texture synthesis matlab source program

根据：基于不变矩特征和神经网络的图像模式模糊分类 论文 在matlab上做的实验，有7个不变矩生成和神经网络分类的代码，还要论文原文-According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment, there are seven moment invariants and neural network classifier to generate the code, but also the original papers

susan角点检测算法的MATLAB程序实现-susan corner detection algorithm for implementation of the MATLAB program

利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners.

我自己做的图像量化程序，还不太成熟。可以将指定图像颜色数减少，并用符号表示每个颜色。-To do my own image quantification procedures, is also not mature enough. Can reduce the number of designated color images, and symbols that represent each color.

计算机图形图像学基础算法实验软件包,包含大多数基本图象处理算法程序。-computer graphics and video algorithm based on experimental learning packages, including most of the basic image processing algorithm procedures.

DCT1.m为一维离散余弦变换exp22.m为对一幅灰度图像进行离散余弦变换 exp23.m为对一幅彩色图像进行离散余弦变换-DCT1.m for the one-dimensional discrete cosine transform exp22.m for a gray image exp23.m discrete cosine transform for the color of an image discrete cosine transform

本代码是Foreground-Background Segmentation of Video Sequences的配套程序，利用KDE算法对avi进行处理，从而提取前景和背景，在windows, Visual C++下测试成功-This code is Foreground-Background Segmentation of Video Sequences matching procedures, the use of KDE algorithm to deal with avi, thereby extracting the prospects and the background, in windows, Visual C++ Test successful