lable_parallel

说明：  QC-LDPC的BP译码算法，MATLAB实现，简单易懂，已成功(Various encoding and decoding methods of LDPC)

数字图像处理matlab版 冈萨雷斯 一书中的附加源程序，生成的M文件，直接可用 (Digital image processing matlab version Gonzalez one additional source book, M-generated documents, directly available)

这写程序是对加水印之后图像的攻击，包括加噪声，各种滤波，剪切，压缩攻击和旋转等。(This writing process is a plus watermark image after the attacks, including the increase in noise, various filtering, shear, compression and rotation attacks.)

使用K-L算法进行人脸识别，在经典的算法基础上加上了正确率统计模块，对正确率的分析很有帮助( 分析很有帮助 Implement face recognition Using K-L algorithm, Added the rate of correct module to the classical algorithm, It s helpful to analysis the rate of correct.)

利用霍夫变换进行椭圆检测，无需模板，不同的图片只需要更改个别参数(Ellipse detection using Hough transform, without templates, a different picture only need to change individual parameters)

易语言2D游戏引擎模块源码，易语言写的图形图象编程源码，很好的参考。(Easy language 2D game engine source module, easy language to write the graphics programming source code, a good reference.)

1.本程序功能包含显示直方图，OTSU的单值分割，OTSU的二值分割,OTSU的三值分割 2.在OTSU的分割时，通常情况下我们是通过类间方差得到一个分割阈值，但是有时候我们需要得到各灰度级别的目标，那么采取多值分割是 很必要的，通过改进得到OTSU的多值分割方法 3.本程序另外还有显示直方图，计算程序运行时间，处理结果以新的窗口显示等细节，这部分适合MFC初学者。(1. This procedure shows the histogram feature, OTSU single segmentation, OTSU binary segmentation, OTSU three segmentation 2. OTSU segmentation, it is usually the case we are through the between-cluster variance by a partition threshold , but sometimes we need to be the gray level of the target, then the multi-segmentation is necessary, through improved access to multi-OTSU segmentation methods 3. This procedure in addition to show the histogram to calculate run time, treatment the results of a new window display the details of this part of MFC for beginners.)

基于HSV与小波包分析的遥感图像融合，首先多光谱图像转换到HSV空间，再与全息图像分别进行小波包分解，然后低频与高频各自采用不同的融合方法，最后得到融合图像。(image fusion)

matlab图像稀疏表示的代码。比较详细。(Matlab image sparse representation of code.)

读取一24位彩色图像，计算其以下图像特征： 1）灰度直方图 2）颜色直方图（RGB3个通道） 3）方向梯度直方图（HOG，将图像分成4*4 16个块，8个梯度方向） (Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, the image is divided into 4* 4 16 blocks, 8 gradient directions))