srad中文文献

说明：  运用MATLAB，软件结合模板匹配原理进行的英文字符识别系统(English character recognition system based on MATLAB and template matching)

复杂背景下文字分割程序的源代码，可以很好的对文字进行分割(Text Segmentation in Complex Background program' s source code, can be a good segmentation of text)

MSER代码，实现最大稳定极值区域提取，经测试可用(The MSER code to achieve maximum stable extremal region extraction)

用共轭梯度下降算法 求解图像压缩感知 并进行比较(Conjugate gradient descent algorithm for image compression and compared perception)

说明：  这是一个关于基于方向谷形检测的静脉纹路分割的MATLAB程序代码，(Vein vein segmentation based on directional valley detection)

该图像包含了各种细节、平滑区域、阴影和纹理，这些对测试各种图像处理算法很有用。(The image contains a variety of detail, smooth areas, shadows, and textures, which are useful for testing various image processing algorithms.)

说明：  可对lytro相机所得到的光场图像进行各种处理(The light field image obtained by lytro camera can be processed in various ways.)

对特征值进行非极大值抑制的角点检测，并且选用了合适的阈值加强检测效果(corner detection by non-maxima suppression of Eigenvalues and selected the appropriate threshold to enhance detection)

文档里，给出了基于交互式多模型方法的目标跟踪原理建模的方法，并附带了分析和仿真程序，很不错的，值得下载学习(Documentation, tracking principle gives the modeling method based on the target interactive multiple model approach, and comes with analysis and simulation procedures, very good, it is worth learning download)

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 ) )