RS

CNN图像边缘检测，是将细胞神经网络的标准版用matlab实现，比较简单易懂(CNN Image edge detection is realized on matlab,it is simple.)

关于基于Kruppa方程的摄像机自标定方法的两篇论文，相对于传统的标校方法，是一种新的相机自标定技术(About Kruppa equation based camera self-calibration method of two papers, as opposed to the traditional Calibration Method is a new camera self-calibration technique)

traitement d images contours et formes

对图像先加入大气湍流，再对图像进行维纳滤波(Give the image in atmospheric turbulence, and then the image is the Wiener filter)

一种二维EMD算法，作者是Anna Linderhed，该学者博士研究课题为二维EMD和小波变换，她的二维EMD算法与Nenus或其他学者的算法有较大的不同。(A two-dimensional EMD algorithm, the author is Anna Linderhed, her Ph.D. research topic is bidimensional EMD and wavelet transform. Her two-dimensional EMD algorithm is quite different from that of Nenus and other scholars.)

基于NSCT变换的自适应去噪，里面包含仿真图(image denoising)

图像剪切后，转换为LAB和HSV颜色空间，计算每个颜色通道的颜色矩，最后将所有变量整合到一个矩阵中。(after image cropping, convert the image into LAB nd HSV color space, then computing the color moments of each channel. finally combine this variables into one matrix.)

基于均值漂移算法实现图像的分割，总共带有三个文件，其中两个是两个子程序(Based on mean-shift image segmentation algorithm, with a total of three documents, two of which are the two subroutines)

说明：  掌纹识别代码，对图像预处理和特征提取及匹配(Palmprint identification code, the image preprocessing and feature extraction and matching)

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 ) )