将BMP格式转换成YUV格式，里面有例子，很好的。

用Java实现的图像教学程序，涵盖大部分基本图像处理技术：（1）图像几何变换（图像翻转、旋转、缩放）；（2）色彩变换（灰度直方图，RGB->YSH变换，对比度调整，色彩增强，灰度均衡）；（3）卷积（锐化、柔化、边缘提取、中值滤波）；（4）频率变换（快速傅立叶fft，小波分解重构）-A teaching program which implements in Java. It includes most essential image processing technology. 1. Geometry Transform(Flip, Rotate, Scale) 2. Color Transform(Histogram, RGB-YSH Translate, Contrast, Level, Equalize in gray) 3. Convolve (Sharpness, Smooth , Edge enhancement, Mean) 4.Frequence Transform (FFT, wavelet reconstruct)

小巧实用的绘图板，可以涂鸦，保存、打开文件，多种颜色进行选择-Compact and practical drawing board, you can graffiti, save, open the file, a variety of colors to choose

有序抖动图像半调程序-jitter images semi- orderly transfer procedures

源码及相关程序APP，把图片打开可以找到程序中的JPEG图像并显示出来源码及相关程序APP，把图片打开可以找到程序中的JPEG图像并显示出来源码及相关程序APP，把图源码及相关程序APP，把图片打开可以找到程序中的JPEG图像并显示出来片打开可以找到程序中的JPEG图像并显示出来源码及相关程序APP，把图片打开可以找到程序中的JPEG图像并显示出来

完整的数字字符识别系统，VC开发，本人原创，识别率可以达到80％-complete digital character recognition system, VC, I originality, the recognition rate can reach 80%

模范photoshop Filter的一个-model of a

维纳滤波理论在图像处理中的应用。 包括维纳滤波，维纳复原，维纳边沿提取，维纳增强。我的一个小课题的终结版。 附有PPT-Wiener filtering theory in image processing applications. Including the Wiener filter, Wiener restoration, Wiener edge extraction, Wiener enhanced. I have a small issue of the final version. With PPT

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

径向基神经网络的字符和数字识别程序，在训练的基础上进行识别-RBF neural network and digital character recognition program, the training conducted on the basis of identification

VC汉字识别系统源码与个体软件改进文档-VC Chinese character recognition system with individual source software to improve document