sheyingceliang1

这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值！！( ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available: - Principal Component Analysis ( PCA ) - Linear Discriminant Analysis ( LDA ) - Multidimensional scaling ( MDS ) - Probabilistic PCA ( ProbPCA ) - Factor analysis ( FactorAnalysis ) - Sammon mapping ( Sammon ) - Isomap ( Isomap ) - Landmark Isomap ( LandmarkIsomap ) - Locally Linear Embedding ( LLE ) - Laplacian Eigenmaps ( Laplacian ) - Hessian LLE ( HessianLLE ) - Local Tangent Space Alignment ( LTSA ) - Diffusion maps ( DiffusionMaps ) - Kernel PCA ( KernelPCA ) - Generalized Discriminant Analysis ( KernelLDA ) )

说明：  用opencv编写的视频捕捉以及边缘提取的程序，调试成功，另附调试用的avi视频，希望对大家有所帮助(Opencv prepared with video capture as well as the procedures for edge detection, debugging success, followed by the avi debug video, hope to help everyone)

可以获取连通域的最小外接矩形，然后做些其他处理(You can get the minimum external rectangle of a connected domain,and you can do something else.)

16QAM-matlab simulation,16QAM-matlab simulation,(16 qam- matlab simulation, 16 qam- matlab simulation,)

对图像进行反转，这是图像传统的增强方法，是对像素点的增强。(Invert the image, which is the traditional method for enhancing an image, the pixel point is increased.)

对所采样的原始图像进行噪声滤波、边缘检测、特征提取、利用多项差值亚像素算法。(the target image is be processed that it is filtered noise, edge detection and character be got.)

说明：  opencv入门程序，使用opencv模式读取图像并显示，在vs环境下调用matlab进行图像读取和显示(opencv entry procedures, read the image using opencv mode and display, in the vs environment, call matlab to read and display the image)

FLICM一种基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最近改进方法，具有更强的鲁棒性，效果明显优于传统算法。(A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering algorithm.)

说明：  利用石川啮合公式编写的程序，适用范围较广，好用，推荐(The program compiled by Ishikawa meshing formula is easy to use and recommended)

说明：  QR二维码识别中在对图像预处理后最重要的一步就是要进行定位，QR二维码中有三个位置探测图形，通过扫描其特征便可以进行精细定位，提出了一种新的算法用于筛选候选点。(In QR code recognition, the most important step after image preprocessing is to locate. There are three position detection patterns in QR code, which can be precisely located by scanning its features. A new algorithm is proposed to screen candidate points.)