完成对摄像机的自动调焦的功能

Gamma校正的快速算法及其C语言实现，该算法特别适用于在嵌入式系统中处理视频流。-A Fast Algorithm for Gamma Correction and C language implementation of the algorithm is especially suitable for processing in embedded systems video streaming.

vb的符号匹配,可以支持常用的函数绘画,但是比较慢,等待改进-vb matching symbols can be used to support the function of painting, but more slowly, to wait for improvements

linux下的绘图程序，类似于visio，但是它是开源的。如果自己不满意可以增加一些模块进去，当然首先要读懂原程序。-under linux mapping procedures, similar to visio, but it is revenue. If you can not get additional modules, we must first understand the original procedure.

液晶表(VB)，VB编程模拟液晶显示，用在界面上很漂亮！-LCD (VB), Visual Basic Programming simulation LCD used in the interface is very beautiful!

MSFlexGrid控件的一个示例，使表格的每一格都可单独编辑。-MSFlexGrid a control sample, so that each cell can form a separate editorial.

显示bmp图像的源代码 可以显示8位和24位的bmp图像-bmp image shows the source code can show the 8-bit and 24-bit bmp image

计算机图形学 breseham 算法 有课程设计报告 文档总结 截图-Computer graphics algorithms are breseham document summing up the report of the curriculum design screenshot

图像处理理想低通滤波,本函数实现DIB位图的快速傅立叶变换,并理想低通滤波-Ideal low-pass filter

X射线图像处理的源代码，具有基本的图像处理功能-X-ray images of the source code with the basic image processing functions

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