fengleihebing

说明：  基于MP的信号稀疏分解参考程序。源程序是《信号与图像的稀疏分解及初级应用》中的(MP sparse decomposition based on the signal reference program. Source is &quot Signal and image sparse decomposition and primary application&quot in the)

随机中点位移法matlab程序代码，生成三维山地模型(Random Midpoint Displacement Method for Mountains Generation)

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 ) )

图像倒频谱生成并分析，可以用于运动模糊图像的PSF参数估计(Cepstrum image generation and analysis, can be used for motion-blurred image PSF parameter estimation)

是由牛津大学VGG开发的三维重建开发包，其代码包括特征提取，单应矩阵计算，二视几何算法，多视几何的算法，是学习三维重建理论的好东西(code for reconstruction。 developed by VGG oxford)

说明：  一篇介绍cs理论的文章，以及与图像处理结合的概述(conpressin sensor)

基于主成分分析与灰度（颜色）、纹理（灰度共生矩阵）的图像分类matlab程序（附示例图像）。(Image classification matlab program based on principal component analysis and gray (color), texture (GLCM) (with sample images).)

小波去噪，图像融合，简单的小波去噪程序.(Image denoising in the wavelet domain using Matlab.)

算术迭代算法ART ct 重建算法的vc工程(ART CT reconstruction)

林健写的Matlab在图像处理与目标识别方面的应用实验，包括染色体识别与统计、汽车牌照定位与字符识别、基于BP神经网络识别字符的简单实验。 (Lam Kin Writing at the Matlab image processing and target recognition application experiments, including chromosome identification and statistics, vehicle license positioning and character recognition, based on BP neural network easy to identify characters in the experiment.)