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SSDA序贯相似性检测方法对图像进行模板匹配。从源图像中取小图，再到源图像中找到小图所处的位置。(SSDA sequential similarity detection method of the image template matching. Source image taken from the small map, to find a small map the source image position.)

多光源光度立体法实现，用于表面纹理处理：根据光源入射向量球表面梯度进而实现三维重建(The multi source photometric stereo method is used to realize the surface texture processing: the 3D reconstruction is realized according to the surface gradient of the incident vector of the light source.)

该源码为目标检测和跟踪算法 包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (The source code for target detection and tracking algorithm include: 1 Static background background prediction target detection 2 Static background frame difference method for target detection 3. Mean Shift tracking method 4 multi-target tracking methods focus)

这是个criminisi算法的源码，可以对图像进行相应的修补。效果很好。(This is a criminisi algorithm source code, images can be appropriate patch. With good results.)

说明：  对图像进行RGB、HSV单通道分离，滤波，合并。(Single-channel filtering and merging of images)

说明：  用于立体匹配的三种算法，显示视差图，matlab代码(Three algorithms for stereo matching, display parallax map, matlab code)

曲波变换程序代码，实现图像的曲波分解以及显示，可以去图像进行曲波去噪增强，对彩色图像空间模型转化后提取曲波信息(Qu Bo transform program code, and display the image decomposition Qu Bo, Qu Bo can go to image edge enhancement, color image space model for transforming information extracted after Qu Bo)

hough和randon函数求图像中圆，对于水中气泡检测效果很不错(Circle detection based on random Hough transform)

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 ) )

Continuous Birdsong Recognition Using Gaussian Mixture Modeling of Image Shape Features