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本文首先概述了独立成分分析与盲信号分离， 主成分分析的关系， 然后系统地介绍了该技术的基本概念和数据模型， 对现今比较流行的各种独立成分分析算法进行了剖析和总结。最后对独立成分分析的发展及应用前景作了展望(In this paper, an overview of independent component analysis and blind signal separation, principal component analysis of the relationship, and then systematically introduces the basic concept of the technology and data models for today' s more popular variety of independent component analysis algorithm is analyzed and summarized. Finally, independent component analysis of the development and application prospects are described)

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)

数字图像处理中的sobel算子Matlab程序(Digital image processing in Matlab procedure sobel operator)

斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination in A Dense Feature Representation The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )

用matlab实现图像变形的实验实例，采用idw 和 rbf 算法(imagewarping using idw&rbf algorithms in matlab)

利用matlab实现不同曝光成度的图像融合，matlab实现HDR功能(Using matlab to realize image fusion with different exposure degrees, and using MATLAB to realize HDR function)

说明：   针对雾天下拍摄图像的退化现象，远景部分是一块灰度分布比较集中且接近天空亮度的区域，而近景部分可以分辨，其灰度分布比较分散。提出了一种基于遗传算法阈值分割的雾天图像增强方法；该方法首先用遗传算法求出近远景的分割阈值将图像分割[1]出来，然后对两个部分分别进行清晰化处理。(make the picture clear)

基于图像处理的人脸检测系统，通过openCV软件来实现的(Image processing based face detection system, implemented by software openCV)

车型识别,根据surf算法特征匹配实现大型车、小型车的识别。(automotive style recognition)

用comsol做声固耦合的例子，例子的内容是声子晶体的投射系数，对用comsol来计算声子晶体的初学者很不错(Coupled with comsol said anything solid examples, examples of the content is the projection coefficient of phononic crystals, the phonons with comsol to calculate the crystal is very good for beginners)