pinjiazhibiao

说明：  实现图像模糊和恢复，有逆滤波恢复方法、傅里叶变换(Image blur and restoration are realized by inverse filtering and Fourier transform)

傅里叶变换的基本概念介绍和应用，做计算和频谱分析时蛮有用的。(fourier transform)

本书主要讨论了图像的各类矩函数（几何矩、复数矩、Legendre矩、Zernike矩、小波矩等）的定义、性质和快速算法，以及它们的不变量函数。并就它在图像处理和识别，计算机视觉以及其它方面的应用作了必要的介绍。 (This book discusses the various types of image moment function (geometric moments, complex moments, Legendre moments, Zernike moments, wavelet moment, etc.) of the definition, nature and fast algorithm, and their non-variable function. On it in the image processing and recognition, computer vision, and other aspects of the application made the necessary introduction.)

基于matlab的分水岭算法在处理粘连细胞图像分割的应用(watershed for digital image prosessing )

用块匹配法进行运动估计的matlab实现方法，返回运动矩阵(block matching method used for motion estimation method of Matlab, the return movement Matrix)

双树复小波的matlab包，通过调用其中的函数实现图像处理的功能(Dual-Tree Complex Wavelet Matlab package, call the function implementing the image processing functions)

说明：  基于霍夫变换的matlab代码，可用于数字图像处理，其中有注释，可用于学习。(matlab Hough Transform hologram)

运用在fluent中的udf，解决边界正弦运动的情况，非常珍贵(Border harmonic vibration UDF, use them in fluent, very precious resource)

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.)

改进的otsu算法，计算局部otsu的值确定局部小区域。对于光照不均匀图像处理有比较好的适应( Improved otsu algorithm to calculate the value of the local otsu determine the local small area. For uneven illumination image processing has a relatively good adaptation)