图形开发应用软件

图形学编程 设计三维物体 不理解内容联系我们 一定相告-design three-dimensional graphics programming objects do not understand the contents of links we say so

基于haar小波的图像增强，与传统的图像增强算子相比较，效果更好。-Haar wavelet-based image enhancement, with the traditional image enhancement operator compared better.

图像处理方面的一些资料，不知道对大家有没有用-Image processing some of the information, we do not know that there is no use

播放GIF动画的工程，用于播放GIF动画。-Play GIF animation project for the GIF animation player.

这是一个功能比较全面的画图程序，基本的功能都能找到相应的类，希望大家参考学习。-This is a function of a more comprehensive drawing program, the basic functions are available to the corresponding categories, we hope to learn reference.

*nix users should read README.unix VisualC users should read README.visualc Cygwin users should read README.cygwin PS: *nix stands for GNU/Linux, *BSD, SunOS/Solaris and perhaps some more. -*nix users should read README.unix VisualC users should read README.visualc Cygwin users should read README.cygwin PS:*nix stands for GNU/Linux,*BSD, SunOS/Solaris and perhaps some more.

程序功能：实现B样条曲线的计算和显示-procedures functions : B-spline curve calculation and display

TURBOC语言编写的声响程序-TURBOC2.0 language of the sound procedures

这是一个用VC编的系统编程，内容有大量的API函数-This is a series of the VC system programming, as a large number of API Function

基于神经网络的文字识别系统 本目录主要包括：文档和两个源代 其中源代码是识别程序的，另一个是矩阵类库的。已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-Based on neural network character recognition system catalog include: the two source documents and source code generation which is to identify the procedure, and the other is the matrix class library. Has been preserved trained network weights, so the identification procedures used for the first time, you can directly run the Release directory of the executable file, and then on the picture of the test directory to read into the picture, identification. Of course, we can use training samples to train the network, but attention should be paid to training samples, otherwise it may be very low recognition rate. Training sample selection principle is that, as far as possible have representation in the training time not too long a number of cases as many as possible training samples