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用MATLAB读取一幅图像，并且计算其图像信噪比(Using MATLAB to read an image and calculate the image SNR)

Matlab版改进的sobel算子边缘检测算法，有效减少边缘断点(Matlab version improved sobel operator edge detection algorithm is effective in reducing edge break)

图像边缘提取，边缘整合，有效提取边缘，并进行填充。(Image edge detection, edge integration, effective edge extraction and filling.)

基于彩色信息的道路图象分割,可以有效的去除道路上的阴影.(Based on color information of the road image segmentation, can effectively remove the shadow on the road.)

利用欧式度量聚类真实数据集和实际数据集用于对各类数据分类 (European metric clustering real data sets and real data sets for various types of data classification)

一个很好的学习图像处理的函数的例子程序，对于初级学习者来说，有很好的帮助，对于初学习者非常适合！(a good learning image processing function examples procedures for primary learners, good help, very suitable for early learners!)

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)

1.DCT变换，对整个图像的直接DCT变换和分块为8*8做DCT变换，并设定阈值。 2.汉明编码（7，4），译码以及找出错误图样和纠错。并在不同的转移概率的BSC道下进行传输。(DCT:Direct DCT and IDCT,blocking. hamming coding:decoding and picking up errors.)

使用HIO算法实图像现相位恢复，包含源代码，简单实用，适于初学者学习。(HIO algorithm using real image recovery phase now, including source code, simple and practical, suitable for beginners to learn.)

图像处理入门教程，比较适合初学者，对于图像知识有所掌控，内容比较详细。(Image Processing Getting Started tutorial, suitable for beginners, more detailed image of knowledge has been the control.)