color_texture

自相似特征（self-similarity）描述子的提取代码，算法见“Matching Local Self-Similarities across Images and Videos”(Self-similar characteristics (self-similarity) describe the extraction of sub-code, algorithms, see " Matching Local Self-Similarities across Images and Videos" )

一个基础的ICP三维点云处理程序，可用来基础学习。(A basic ICP 3D point cloud processing program can be used for basic learning.)

目前最重要的图像变化检测评价标准：roc曲线，以及roc曲线下面积。(ROC curve of image change detection)

多目标跟踪算法（3D），针对三维多目标进行跟踪，程序完整，易懂。(The multi-target tracking algorithm (3D), for the three-dimensional multi-target tracking, the program is complete, understandable.)

利用Matlab编写的基于hough变换的椭圆检测程序，已经运行过的，附图(Written in Matlab, hough transform based ellipse detection procedure has been run off, with photos)

对一幅图片批量添加20个级别的噪声，支持添加高斯白噪声和椒盐噪声两种噪声。(Add a picture batch 20 levels of noise, two noise support the addition of white Gaussian noise and salt and pepper noise.)

易语言图片按钮放大源码，易语言写的图形图像编程，很好的参考。(Easy language source code easy to picture button zoom, image language programming, a good reference.)

说明：  图形图像出来库文件，挺好用的，直接包含进工程就可以用了 (Graphic images from the library files, good used directly included into the project can be used)

本程序集合了互信息配准，PV差值，powell算法，基于小波变换的图像融合的一整套算法。只需要在GUI界面输入两幅图像，即可自动完成图像的配准融合。程序包含Matlab源代码。用Matlab打开imagefusion.m，即会弹出gui界面。融合前要输入参考和浮动图像。图像要求像素的 长＊宽 一样。否则会报错。程序只能处理灰度图像，彩色图像也会转化成灰度图像处理。程序代码已经有详细的注释，方便读者理解。(The procedures set of mutual information, PV difference, powell algorithm, based on wavelet transform image fusion set of algorithms. Only need to enter the two images in the GUI interface, you can automatically complete the image registration fusion. Program contains Matlab source code. Using Matlab open imagefusion.m, gui interface will pop up. Fusion before the input reference and floating images. Image requires the same pixel length* width. Otherwise incorrect. Can only handle grayscale images, color images into gray image processing also. Program code has detailed notes, to facilitate understanding.)

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)