SVD

图像处理中常用的滤波函数库，包括高斯滤波、DOOG滤波等等，很有用的Matlab实现的代码库，添加到Matlab工作路径即可使用。(The filter used in image processing library, including Gaussian filter, DOOG filtering, etc., to achieve useful Matlab code base, added to the Matlab working path can be used.)

matlab数字图像分割，可以提取一幅图中想要的目标，并计算出目标的面积，周长和长宽比。(Digital Image Segmenting Useing Matlab.This program can extract the interesting target from a figure, and calculate the target area, perimeter and aspect ratio.)

中国古代书法作品由于自然风化和人为因素导致的背景中包含大量噪声，重建背景图像，提高观赏价值。直接运行BackgroundFix.m即可(Since the background of ancient Chinese calligraphy works of natural weathering and human factors included a lot of noise, the background image reconstruction, improve the ornamental value. It can run directly BackgroundFix.m)

说明：  利用c++实现的PCA算法，直接对数据进行处理，适合初步学习(C++ implementation using PCA algorithm to process the data directly)

基于matlab实现干涉显微镜图像重构中的二维解包裹函数。( QualityGuidedUnwrap2D implements 2D quality guided path following phase unwrapping algorithm. Inputs: 1. Complex image in .mat double format 2. Binary mask (optional) Outputs: 1. Unwrapped phase image 2. Phase quality map This code can easily be extended for 3D phase unwrapping. Technique adapted from: D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping: Theory, Algorithms and Software. New York: Wiley-Interscience, 1998. Posted by Bruce Spottiswoode on 22 December 2008 2010/07/23 Modified by Carey Smith)

说明：  阈值分割。基于二维直方图及混沌粒子群的图像分割方法(Thresholding. Based on two-dimensional histogram and chaotic particle swarm methods for image segmentation)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

计算两个离散变量x和y的联合熵z = H（x，y）。 输入：x，y：两个相同长度的整数向量输出：z：联合熵 可以使用，有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)

matlab关于DCT的图像处理程序 供大家交流(Matlab on DCT image processing procedures for the exchange of)

几个图像中嵌入文本的LSB信息隐藏算法，适合信息隐藏初学者,注释详细(Several images embedded in the text of the LSB Information Hiding Algorithm for Information Hiding beginners, notes in detail)