visual c++数字图象处理的书源盘，程序都有代码解释。

这是一个淡蓝背景。很多星星飞扬！！蛮不错的哦-This is a pale blue background. Many stars dust! ! Oh, pretty good

vc++6.0环境下实现划线的小程序，可以直接运行。MFC下实现-vc++ 6.0 environment realize crossed a small procedure, can be directly run. MFC under

在图像处理中，主要用于求取图像的直方图像。-In image processing, mainly for striking images, like the histogram

北京大学遥感所的研究生图像处理讲义高级遥感数字图像处理（硕士生课程）之图像数字化-Peking University

两个文件夹均是Eclipse下的Java项目，运行Eclipse后分别导入这两个工程就可以看运行结果。如何运行AP2APTest请查看开发指南.-Two folders are Java under the Eclipse project, Eclipse is running, respectively, after the import of these two works can be seen on the results. Please check AP2APTest how to run the development of guidelines.

基于虹膜的模式识别的源码-iris based pattern recognition source code

在.NET中非常好用的绘制报表工具 可以绘制饼图，曲线图，矩形图-In the. NET is very easy to use drawing tools to draw a pie chart report, graphs, rectangular diagram

snakes算法简单程序（可运行），对初步学习snakes算法有帮助-snakes simple algorithm (runs), the preliminary study snakes help Algorithm

nehe的opengl教程第48课，nehe的教程十分出名，是初学者必备-opengl tutorial nehe of the 48th Division, nehe the tutorial is very well known, is essential for beginners

本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能-In this paper, and designed to achieve a free offline handwritten numeral recognition system. First, the identification number of the preconditioning treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the number of character strokes of structural features and characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching method to identify and MATLAB as a programming tool to achieve with a friendly graphical user interface of free handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance