生成高山、树叶、云的分形图形程序

图象降维算法,比如有名的LLE,PCA,ISOMAP......等,对研究图象分析的研究人员有很大的帮助-image dimensionality reduction algorithms such as the famous LLE, PCA, ISOMAP .... Image analysis of the study researchers will be very helpful

这是个绘制三次贝塞尔曲线的小程序,源码附上,供大家参考-This is a Bezier curve drawing three small procedures, the source code attached for your reference

VB6喷枪演示程序.在一个黑色的背景上随机的＂喷雾＂-VB6 Lance Demonstration Program. In a black background were the "spray"

图形文件的保存和输出的TC源码-graphics files and the preservation of the TC-source output

用VB实现的康托集分形图，来自《分形算法与程序设计――Visual Basic实现》-VB of Cantor set fractals, from "fractal algorithms and programming-- Visual Basic"

网上查到的车辆识别系统原创程序，结合摄像机进行车牌在线识别。

小球沿空间螺旋线运动的动画，matlab写的小程序-small ball along the space spiral movement of animation, a small Matlab write procedures

一个在opengl下显示灰度bmp位图文件的程序，用VC++ 编写而成。很简单，适合初学者使用。-an opengl shown in gray bmp bitmap documentation procedures, prepared by VC. Very simple, suitable for beginners-Opengl shown in grayscale bitmap bmp files, use VC++ Prepared. Very simple, suitable for beginners to use.-an opengl shown in gray bmp bitmap documentation procedures, prepared by VC. Very simple, suitable for beginners

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

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