地震

这是清华大学章毓敏写的图像工程，分上中下三册，希望对学习图像处理的学者有所帮助。(This is the engineering of Tsinghua University Zhang Yumin, write the image points on the three, hoping to help scholars learn image processing.)

图像分割和分形图像编码，其中图像分割的算法较多，而其只是分形编码的一部分(Image segmentation and fractal image coding, in which larger image segmentation algorithm, and its just part of fractal coding)

强大的小波包分析程序，将信号分频分析，在感兴趣的频率域内抽取信号信息。(Powerful wavelet packet analysis procedures, the signal of frequency analysis, frequency domain of interest extracted signal information.)

在信号与系统中，用希尔伯特变换对最小相位信号的实部和虚部进行相互变换，同时包含连续时间傅里叶变换(CTFT),反连续时间傅里叶变换（ICTFT），离散时间傅里叶变换（DTFT），反离散时间傅里叶变换（IDTFT）的程序(In signal and system, transform the real and imaginary part of the signal with minimum phase using Hilbert Transform. CTFT,ICTFT,DTFT and IDTFT are also included.)

基于KSVD算法的图像去噪算法，稀疏表示，字典学习，OMP算法，基于DCT字典的图像去噪，demo可以直接运行。(Image denoising by KSVD algorithm，spare representation，dictionary learning，OMP algorithm，DCT dictionary)

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

金字塔模板匹配，一个很有商业价值的软件【我背着导师上传给大家的，希望对整个中国的相关领域开发者有帮助】(Pyramid template matching, a great commercial value of software 【I tutor upload their backs to you, and I hope the related areas of China as a whole help developers】)

说明：  BP神经网络做曲线拟合，BP网络应用于曲线二次拟合(BP neural network to do curve fitting, BP network used in curve fitting quadratic)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

应用matlab对多通道遥感影像进行主成分变换，就出含有最大信息量的主成分(Application of PCA matlab multi-channel remote sensing image, containing the principal component of the maximum amount of information)