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这是一个用matlab开发的程序，用小波理论来完成图像边缘检测的，程序可用。(This is a procedure developed by matlab, using wavelet theory to complete the image edge detection, the program can be used.)

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)

基于MAP的超分辨率重建算法，附有说明，使得大家方便运行。(The super-resolution by map.)

说明：  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)

数字图像处理的基础知识学习 涵盖源代码，有助于提高编程(digital image processing )

将RGB格式的图像转换为灰度模式。 使用TI C6748 DSP 在CCS5.5下运行(convert RGB image to grey code. use in C6748DSP. written under CCS5.5. )

Gabor 小波变换用于面部表情特征提取(Gabor Transform用于表情识别)

说明：  这是一个比较实用的ADBOOST算法的源代码，它是比较准确，希望大家喜欢。(This is a more practical algorithm ADBOOST source code, it is more accurate, I hope you like.)

meanshift算法的python实现 + 图像化显示(meanshift with python)

使用特征差别提取，通过特征差别相减，以去除高斯背景(Using the characteristics of different extraction, the characteristics of different background subtraction, to remove Gauss)