in VB6.0 and DX9 3D images to achieve programming.

注意，本程序的细化算法要应用于含线条的黑白二值图像才可以看出细化效果。-Note that the thinning algorithm of this procedure should be used with lines of black and white binary image thinning effect can be seen.

用bezier曲线绘制的线框，可实现线框的移动、旋转并可改变线框的形状-with bezier curve drawing the frame, the frame can achieve mobile, rotating frame can change the shape

System that recognize written number uses neural network.

使用.NET进行AutoCAD二次开发。-Use. NET for AutoCAD second development.

基于图分析方法的图像分割程序，对了解图理论及其应用有很大帮助-Graph-based analysis method for image segmentation procedures, the understanding of graph theory and its applications are very helpful

根据定义好的格式进行绘图 　.zip-good definition format graphics. Zip

一个联机手写数字识别小程序，用vc++工具编写的。可以执行，试过了，放心下载-An on-line handwritten numeral recognition applet, using vc++ Tools prepared. Can be implemented, tried, and rest assured Download

地质制图系统_GeoMap3.5正式版20080325，是地理信息系统领域和地震地质领域绘等值线等图的有效工具-Geological Mapping System _GeoMap3.5 official version 20080325, is the field of geographic information systems and seismic geological fields, such as contour map drawn an effective tool

本代码完成字模提取,将输入汉字转化成点阵信息存储为文件-Abstraction to input Chinese characters into the lattice of information storage for documents

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