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Graph Cutshi是最近在计算机视觉中研究和应用比较多的优化算法，典型的用于stereo matching, image restortion, texture synthesis等应用，以上代码给出了graph cut，mean shift, 以及相关的ppm/pgm图像借口，本来是用于stereo matching的，已经把相关的matching的实现代码给去掉了。大家可以以此为平台做一些相关的研究和应用。 (Graph Cutshi recently in computer vision research and application of a relatively large number of optimization algorithms, typical for the stereo matching, image restortion, texture synthesis applications, the above code gives the graph cut, mean shift, and the associated ppm/pgm images an excuse, it is used for stereo matching, and has been related to matching the code to realize removed. U.S. can also be used as a platform to do some related research and applications.)

分割视图 希望大家多多批评指正 多多交流(segmentation View I hope Members can interact more criticism correction)

This extracts features images, that can be used to detect humans and objects.

一篇基于Expected Patch Log Likelihood的图像去噪文章及其实现(One based on Expected Patch Log Likelihood Denoising article and its realization)

图像读取与显示，图像二值化，边缘检测，边缘追踪(Read and display image, image binarization, edge detection, edge tracking)

说明：  利用matlab对只包含RBG三个波段的图像进行植被提取，通过设定一定的阈值将植被与背景进行分割(The vegetation is extracted from the image containing only three bands of rbg by matlab, and the vegetation and background are segmented by setting a certain threshold.)

图片边缘检测滤镜，浮雕， 反选色去色黑白化多功能代码

图像质量评价的一个重要的指标：平均结构相似度（MSSIM），比PSNR有更好的性能，并且计算简单。(Image quality assessment is an important indicator: Average structural similarity (MSSIM), better than the PSNR performance, and easy to compute.)

从Cbitmap派生的位图类，可通过指定一种颜色把一幅位图变透明，而它的使用差不多同Cbitamp一样简单。类中包含了两个文件：CISBitmap.cpp和CISBitmap.h，使用时附加进工程，可快速实现BMP位图图像的透明处理。(Cbitmap derived from the bitmap type, you can specify a color by a bitmap becomes transparent, and it s almost as simple as using the same Cbitamp. Class contains two files: CISBitmap.cpp and CISBitmap.h, into the use of additional works can be quickly processed to achieve a transparent bitmap BMP images.)

稀疏表示，包括ksvd图像去噪，matlab程序，程序有详细注解，便于初学者学习，代码可以直接使用(Sparse representation, including ksvd image denoising， Matlab procedures, procedures are detailed notes, easy for beginners to learn, code can be used directly)