DCT-a-Hamming-coding

说明：  Harris角点检测，关于角点的应用在图像处理上比较广泛，如图像匹配(FPM特征点匹配)、相机标定等。网上也有很多博客对Harris角点检测原理进行描述，但基本上只是描述了算法流程，而其中相关细节并未作出解释，这里我想对有些地方做出补充说明，正所谓知其然知其所以然，如有不对，还望指正。(Harris corner detection)

实现RGB到HSV空间转换，之后提取H、S、V分量后获取图像的颜色直方图和累计颜色直方图。(Achieve RGB to HSV space conversion, after the extraction of H, S, V components to obtain the image of the color histogram and cumulative color histogram.)

图像的奇异值分解，可用于图像的压缩和去噪等。(Singular value decomposition of the image, the image can be used for compression and denoising images and the like.)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

说明：  數據繪圖時候有時候必須處理資料矩陣轉向，該編碼詳細說明如何處理矩陣在三維度空間下進行轉向，而不是利用Curve Fitting Tools(Data drawing sometimes has to deal with the data matrix steering, which details how to handle the matrix to steer in a three-dimensional space instead of using Curve Fitting Tools)

C++ 写的一些算法模板 ，比如Kruskal、KMP、欧几里德算法、最大匹配(匈牙利算法)、最小费用最大流、字符串的哈希方法、增广路算法、网络最大流_邻接表等……(C++ write some algorithms template, such as Kruskal, KMP, Euclid arithmetic, maximal matching (Hungary) is proposed, the minimum cost and maximum flow, string hash method, augmented road algorithm, network maximum flow _ adjlink etc......)

产生螺旋波面的m文件，拓扑核数是3,相位改变量和高度可以自己调节。内附平面波和球面波的示意图以及产生的图片(generating helical wavefront whose topological number is three)

获取图像的LBP特征：对图像的原始LBP模式、等价LBP模式、旋转不变LBP模式，以及等价旋转不变LBP模式的LBP特征进行提取以及显示(Obtaining LBP features of images: extracting and displaying the original LBP pattern, equivalent LBP pattern, rotation invariant LBP pattern and equivalent rotation invariant LBP pattern of images)

说明：  实现了图像与视频的信息隐藏，输入图片和视频可进行效果演示(The information hiding of image and video is realized)

用于信号特征提取、信号消噪，MinkowskiMethod算法 ,未来线路预测,分析误差。( For feature extraction, signal de-noising, MinkowskiMethod algorithm, Future line prediction, error analysis.)