这是DX做场景的案例。。。希望有兴趣的人大家可以一起来探讨...

UARPT的一个编程实例，实现串口通信。针对DSP编程 -UARPT instance of a program to achieve serial communication. Programming for DSP

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)

本程序提供了lzw编码的压缩和解压缩函数，并实现对图象文件的压缩和解压缩-the procedures provided 4,558,302 coding compression functions, and to achieve the right image file compression

鼠标可以在窗口中画画、写字等操作，该程序实现画笔功能-mouse can in the window paint, write such an operation, the program features a paintbrush

基于hmm的人脸识别代码-based on face recognition code

采用vc++编程，可以处理8位bmp图像。先进行阈值分割，然后可以轮廓提取。最后可以进行平行线检测，采用hough变换-using vc programming, can handle eight bmp images. First threshold for segmentation, which can then be extracted contour. Finally parallel line can be detected using Hough Transform

多变形填充的程序c语言-more filled the deformation process language c

用VC编写的圆弧样条，B样条曲线的绘制程序，在单文档中输入任意点，绘制出点间的圆弧样条曲线与B样条曲线-VC prepared by the arc-like, B-spline curve mapping procedures in a single document input arbitrary point and draw points of the circular spline curves and B-spline curves

神龙卡开发完全范例，适合视频、音频开发人员参考使用。-Shenlong card development paradigm completely suitable for video, audio developers use and reference.

本软件是由作者经过数字图像处理课程的学习，采用vc++.net将其基本算法实现，其算法主要包括： 1.点运算（灰度直方图，直方图均衡处理，线性运算，二值化，灰度化等） 2.几何运算（旋转，放缩，镜像，平移） 3.几何空间增强（均值，中值滤波器，k近邻均值，中值滤波器，Roberts,sobel,priwitt,laplacian,wallis锐化算子等） 4.频率域增强（基2FFT进行空间域到频率域的转换，高斯，理想，巴特沃斯高低通滤波器） 5.形态学（膨胀，腐蚀，开，闭运算，边缘提取） 6.图像复原（加躁）----- 由于时间关系这部分为完成 7.另外加上一个用于读取24位dib的类。-the software is the author of Digital Image Processing courses of study, using vc. Net to its basic algorithm, the algorithm include : 1. Point Operators (histogram, histogram equalization, linear operation, two values, such as Gray) 2. Geometric Operational (rotation, scaling, mirror and translation) 3. geometric space enhancement (mean, median filter, k neighbors Mean, Median Filter, Roberts, segmentation, priwitt, Laplacian, Wallis Sharpening operator, etc.) 4. frequency Domain Enhancement (radix 2 FFT space frequency domain to the domain conversion, Gaussian, ideals, Butterworth High-Low Pass Filter) 5. Morphology (expansion, corrosion, open and close operations, edge extraction) 6. Image