Based on vc++ Term effects show the effects of the treatment methods of the sour...

精典的LSB算法数字水印工具，经过本人修改和调试，可以在windows平台下使用。操作界面是命令行的形式，可以对bmp图片和一些声音、视频格式嵌入水印，经测试完全可用。请放心下载-Classical algorithm for the LSB digital watermarking tool, after I modify and debug, you can use in windows platform. Interface is a command-line form can be bmp picture and some sound, video format embedded watermark can be used have been tested fully. Please be assured Download

该程序是将一个脑白质的平面图的处理，通过处理可以得到清晰的脑白质图像。-The program is a plan for dealing with white matter, can be adopted to deal with a clear image of the white matter.

用VC++进行图象处理之特效显示，图象的扫描、移动等-use vc++ to display the specially good effect of the graphics process ,the scan ,moving of the graphics

• To design a GUI in MATLAB for Dual-Tone Multi-Frequency (DTMF) telephone key pad, including DTMF Signal generator and DTMF tone detector • To simulate the DTMF signals with noise based on the specifications given. • To decode and display the DTMF signals by using FFT algorithm

使用matlab的小波工具对遥感图像进行图像融合操作-Using matlab wavelet tools of remote sensing images for image fusion operation

Rob Hess C implementation of SIFT that uses OpenCV. It allows for pretty detailed parameter tweaking (e.g. histogram size, DoG thresholds, etc.) If you need flexibility, this is pretty good. -Rob Hess C implementation of SIFT that uses OpenCV. It allows for pretty detailed parameter tweaking (eg histogram size, DoG thresholds, etc.) If you need flexibility, this is pretty good.

该源码里包括很多matlab源代码，比如颜色模型之间的转化等等，对图形图像处理的同行门肯定有帮助。-The source includes a lot of matlab source code, such as the conversion between the color model, etc., on the graphical image counterparts door handle will certainly help.

本程序介绍了一个非常实用的DSP图象处理程序，仅供参考，请最好不要用于商业用途-This procedure introduced a very useful DSP image processing procedures are for reference only, please best not used for commercial purposes

通过边缘检测寻找图像上圆点的圆心坐标，可用于大量的图像处理程序-Image through edge detection to find the center coordinates of the dots

一些在视频图像处理中关于背景建模的论文（第3部分）-Video image processing in the context of modeling on the paper (Part 3)