the win

较全面的图像处理与分析软件源程序-more comprehensive image processing and analysis software source

本原代码集是对计算机图形学的编程实践，包括画直线、反走样直线、画圆、画椭圆、画矩形、画多边形、矩形填充、多边形填充、3D变换、光照、贴图等。出于简化编程的考虑，许多地方指定了常数，未做通用处理。解压缩后建立gui16目录，在其下有原代码和工程文件。在gui16下建立release目录，其下有一可执行文件及其所须的位图及模型文件。如在release目录之外执行程序，必须复制所需位图及模型文件。内含r-primitive code of computer graphics programming practice, including painting line, anti-aliasing straight Circle, painted oval, rectangular painting, drawing polygon, rectangle filling, polygon filling, 3D transformation, lighting, textures, etc.. To simplify programming for consideration, in many places designated constant, GM declined to handle. Decompress gui16 established after the catalog under the original code and engineering documents. Established in gui16 release directory, under which an executable file and the necessary bitmap, and model documents. If the release catalog implementation procedures, must copy the necessary bitmap and model documents. R intron

ParSeMiS-并行和顺序开采套房

运用信息论的知识求解图像的信息量也就是熵的算法。-use of information, the knowledge to solve image is the amount of entropy algorithm.

位图操作实例-Examples of bitmap operations

BC++ 开发的图形界面应用程序,使用非常方便。-BC"s GUI applications is extremely easy to use.

用C++实现语法分析器-C achieve parser

bmp 图像处理程序-bmp image processing procedures

《池塘夜降彩色雨》配套源代码- Pond nights rain fall color complementary source code

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