color-moments-of-three-color-spaces

该源代码包含图像10个不变矩的图像检索，小波模极大值法边缘检测，结合颜色特征与不变矩的图像检索源程序(The source code includes images of invariant moments 10 image retrieval, wavelet modulus maximum edge detection method, combining color characteristics and the moment invariants image retrieval source program)

基于Matlab平台开发的用于生理信号特征选择的程序算法，信息熵算法，主要用于特征选择，属于模式识别的一类。(The program used for physiological signal feature selection algorithm based on Matlab platform development, information entropy algorithm is mainly used for feature selection, belongs to a class pattern recognition.)

基于matlab的查找并剔除野值的程序,在信号处理与数据分析方面很好用(matlab find error)

本程序完成了对运动图像的识别与跟踪功能，程序里自带了测试的图像(The program to complete the identification and tracking of moving images, the program comes with the test image)

数字图像压缩方向一些经典压缩方法的matlab程序实现(Digital image compression direction, some classic compression methods, matlab program implementation)

基于SIFT+Kmeans+LDA的图片分类器的实现源码。 博文参考：http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html(The pictures classifier based on SIFT, Kmeans and LDA. Blog Reference: http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html)

说明：  将像素点划分为超像素，便于进行图像处理！(Implementing superpixel segmentation)

VisualC++数字图像处理技术详解第2版光盘，第十二章(VisualC++ digital image processing technology Detailed Version 2 discs, Chapter XII)

说明：  这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLAB source code. LCV model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)

VC.NET图象处理,采用基于CImage类的图象处理技术,封装的函数为基本的图象处理部分,如几何变换等等,开发环境为VC++.NET(VC.NET image processing, based on CImage kind of image processing technology, Packaging for the basic functions of image processing, such as geometric transformation, and so on, the environment for the development of the VC.NET)