FTVd

说明：  实验室自己用的fbp重建算法，基于C语言，亲测可用。上有个人C盘名称信息请删除(Ct reconstruction fbp)

说明：  小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)

对图像稀疏编码和字典学习有个大致的了解，以及当前的研究现状(Sparse Coding and Dictionary)

简单水印制作源码,程序结合易语言扩展界面支持库，实现了加载水印效果图和设置水印效果的功能(Simple watermarking source code , the program combined with easy language support library expansion interface , to achieve a load diagram and set watermark watermark function)

数字图象处理VC++实现,里面有很多图像处理方面的算法，有参考意义。(Digital image processing in VC++)

基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)

针对齿轮滚动轴承等的早期损伤类故障, 提出将小波包分解作为包络分析的前置处理手段以提取振动信号的故障信息特征 。 在简述小波包基本原理的基础上, 通过仿真信号, 对振动信号的具体处理过程进行分析, 并对可能遇到的问题, 提出处理办法, 然后应用于诊断实例 。 (Early damage fault for rolling bearings and other gear, the proposed wavelet packet decomposition as pre-processing means envelopment analysis to extract characteristic vibration signal fault information. On the basis of the basic principles outlined wavelet packet, through simulation signal processing for specific vibration signals are analyzed, and the problems that may be ncountered, proposed approach, and then applied to the diagnosis example.)

在文档下打开一个位图文件，重新绘制，放大并使其二值化显示，()

自己编译的小波矩特征提取matlab代码(Wavelet moment to compile the feature extraction matlab code)

使用OpenCV实现特征点的查找以及两幅图像中的特征点匹配(Use the function findHomography to find the transform between matched keypoints. Use the function perspectiveTransform to map the points)