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说明：  一个比较经典的二维经验模式分解程序代码，适用于图像的特征提取和分解(A more classic two-dimensional empirical mode decomposition procedure code, applied to image feature extraction and decomposition)

源码包括了常用的图像处理方法，代码详细，适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)

使用matlab分析传统光学系统加入三次相位掩模板之后对中间像进行图像复原(Analysis using matlab conventional optical system after adding three phase mask image on the intermediate image restoration)

bmp文件的读取,2,8,16,24bit自适配(bmp file read,2、8、16、24bit adjust)

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dft变换域的图像水印嵌入程序，通过修改分块dft系数实现水印嵌入，可实现，供初学者参考。(Dft transform domain image watermarking embedding the watermark embedding process by modifying the block dft coefficients, achievable, and reference for beginners.)

基于图像特征的模板匹配算法的研究， 进行图像处理地子程序；(Template based on image feature matching algorithm for image processing to Subroutine )

实现了一个基于颜色、纹理、形状综合特征的MatlabGUI图像检索系统。(Bulit an image retrieval system based on which combines these three features and realizes user-defined weights.)

实现文章“Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries”中的降噪算法(Realize the article " Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries" in the noise reduction algorithm)

基于Hough变换的圆检测 -matalab程序,能有效地检测圆曲线，在matalab下运行(Based on the Hough transform circle detection-matalab procedures, can effectively detect circular curve, in the run matalab)