采用Visual Basic 6 编写的下雨效果，效果较好！值得一看。

/* The TIFF writer contained in this code */ /* assumed that the machine on which it */ /* is running stores numbers with the */ /* most-significant byte first, i.e., in */ /* the "big-endian" byte-order. */ //tiff:标签图像文件格式。100多kb的源代码，-/* The TIFF writer contained in this code*//* assumed that the machine on which it*//* is ru nning stores numbers with the*//* most-signif icant byte first, i.e., in*//* the "big-endian" byte-order.*///tiff : Tagged Image File Format. More than 100 kb of source code,

terrain height querry, which is represented by triangle mesh

c++编写的一个　人脸检测系统　有很高的参考价值-c++ prepared a face detection system has high reference value

用两个字符形成点阵大字的软件TxtLog根据点阵字库，用两个字符形成一个大的汉字点阵图-with two characters form the lattice characters TxtLog based Lattice software library with two characters form a large Chinese maps

GVF Snake 程序,用于图象分割,用MATLAB语言编写-GVF Snake procedures for image segmentation using MATLAB language

雕刻技术的图像处理代码-carving the image processing code

dicom格式文件的读取和显示 可以生成安装文件-dicom reader dicom reader dicom reader

现在非codebehind方式下不能生成png图形，大家以后要用png就用codebehind方式吧-now under way not to be generated png graphics, since we used to use png codebehind style

VC++NJIN虚拟示波器程序-VC NJIN virtual oscilloscope procedures

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