chapter02

数字图像处理编程入门（吕风军）第一章第1章 Windows位图和调色板(Windows Bitmap and palette of the first chapter, Chapter 1 of the digital image processing program entry (Lv Fengjun))

水下图像的matlab程序，FCM水下图像聚类及图像增强matlab代码，非常有用(Underwater image matlab procedures, FCM underwater image clustering and image enhancement matlab code, very useful)

基于SUFT的特征提取与匹配，内涵详细的文档说明，很好的实现了特征提取与匹配，该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)

第二代Curvelet变换及其在图像融合中的应用研究，第二代Curvelet较第一代有更好的发展前景(Second-generation Curvelet Transform and Its Application in Image Fusion of applied research, the second-generation Curvelet better than the first generation of the development prospects of)

此算法实现了分形图形分形树的一种叠代算法的实现过程。它充分利用了叠代的思想(algorithm achieved a fractal graphics fractal tree an iterative algorithm implementation process. It makes full use of iterative thinking)

利用ADMM和小波进行图像恢复 使用ADMM算法的图像恢复模型，并用到了增广拉格朗日函数和快速傅里叶函数(Using ADMM and wavelet to restore image, using ADMM algorithm to restore image model, and using augmented Lagrange function and fast Fourier function.)

应用MATLAB小波工具箱中的一维小波包分析函数,采用默认阈值、调节后的阈值两种方法对含噪声的信号进行处理,并以一可见吸收光谱降噪为例,说明该方法在信号降噪中有效可行. (Application of MATLAB wavelet toolbox one dimensional wavelet packet analysis function, using the default threshold value, the adjusted threshold value of two kinds of methods including noise signal processing, and with a visible absorption spectrum noise reduction as an example to show the method is effective in signal noise reduction is feasible. )

一个计算多边形面积和周长的程序, 同时可以把多边形显示出来, 直观展现多边形形状.(A polygon area and perimeter calculation procedures, the polygons can be displayed simultaneously, intuitive show polygonal shape.)

基于IHS变换的图像融合matlab程序，基于IHS变换和小波帧变换的图像融合matlab程序。(IHS transform based image fusion matlab program, based on the IHS transform and wavelet frame transform matlab image fusion procedures.)

通过高斯核密度估计计算多元变量之间的互信息熵(The mutual information entropy between multivariate variables is calculated by Gaussian kernel density estimation)