很全的图像融合指标，综合熵、空间频率、互信息等等，一共7种！和两幅源图像！每个程序都测试过，效果很好，直接出结果...

手写数字识别系统,非常好的啊!带有GUI界面,使用方便!-handwritten numeral recognition, very good ah! With a GUI interface, easy to use!

图象处理之图象的灰度变换、分段线形变幻、灰度匹配变换-image processing for the gray-scale image transformation, sub-linear changes, Gray matched Transform

registration image.two image register

卷积反投影重建CT2维图像（Visual Fortran编写）-convolution-projection reconstruction CT2-dimensional images (Visual Fortran preparation)

本代码用于，在DirectX中转换图片格式，将JPG格式图片批量转换为DirectX自己的格式dds-The code used in DirectX convert picture format JPG format picture batch convert dds format DirectX own

一种用于手写字体识别（模糊识别）实现的源代码。隶属于模式识别领域-A handwritten font identification (fuzzy recognition) the source code. Attached to the field of pattern recognition

圆的画法(计算机图形学)-round of paint (computer graphics)

图象处理vc++6.0源代码库-image processing vc 6.0 source code library

目前该手写体识别系统主要分为 预处理模块： 主要包括训练数据和识别数据的读取，归一化，二值化 特征提取模块：主要包括笔划方向特征和网格密度特征，还可以根据对识别率的要求继续增加其他特征 识别（分类器）模块：主要包括SVM方法和BP神经网络的方法，其中SVM方法的识别率较高，SVM＋网格密度特征， 在小字符集情况下，达到了识别率97％以上 采用OO思想编写，适合做二次开发-currently the handwriting recognition system consists of pretreatment modules : including training data and identification data read, in one, two values of feature extraction module : the main characteristics of the direction including strokes and grid density characteristics, but also based on the identification of the requirements to continue to increase other identification ( Categories) modules : include SVM methods and BP networks, which SVM method for the identification of high SVM+ mesh density characteristics, in a small set of characters to achieve a recognition rate of over 97% using OO ideological preparation, suitable for secondary development

图像的领域处理 ，图像平滑，一阶微分边沿监测，二阶微分边沿监测。-The field of image processing, image smoothing, the first-order differential edge monitoring, monitoring of second-order differential edge.