图像处理代码合集:特征提取-图像分割-分类-匹配-降噪
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这几天在研究血管增强与分割，发现一个比较全面的图像处理方面的项目集合，里面涵盖了特征提取、图像分割、图像分类、图像匹配、图像降噪，光流法等等方面的项目和代码集合，项目是2012年之前的，但是涵盖比较基础的原理知识，用到的时候可以参考一下：
Topic | Resources | References |
Feature Extraction |
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Image Segmentation |
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Object Detection |
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Saliency Detection |
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Image Classification |
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Category-Independent Object Proposal | ||
MRF |
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Shadow Detection | ||
Optical Flow |
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Object Tracking |
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Image Matting | ||
Bilateral Filtering | ||
Image Denoising | ||
Image Super-Resolution | ||
Image Deblurring | ||
Image Quality Assessment |
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Density Estimation |
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Dimension Reduction | ||
Sparse Coding | ||
Low-Rank Matrix Completion | ||
Nearest Neighbors matching |
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Steoreo |
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Structure from motion |
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Distance Transformation |
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Chamfer Matching |
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Clustering |
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Classification |
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Regression |
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Multiple Kernel Learning (MKL) |
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Multiple Instance Learning (MIL) |
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Other Utilities |
Useful Links (dataset, lectures, and other softwares)
| Conference Information | |
| Papers | |
| Datasets | |
| Lectures | |
| Source Codes |
一、特征提取Feature Extraction：
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SIFT [1] [Demo program][SIFT Library] [VLFeat]
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PCA-SIFT [2] [Project]
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Affine-SIFT [3] [Project]
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SURF [4] [OpenSURF] [Matlab Wrapper]
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Affine Covariant Features [5] [Oxford project]
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MSER [6] [Oxford project] [VLFeat]
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Geometric Blur [7] [Code]
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Local Self-Similarity Descriptor [8] [Oxford implementation]
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Global and Efficient Self-Similarity [9] [Code]
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Histogram of Oriented Graidents [10] [INRIA Object Localization Toolkit] [OLT toolkit for Windows]
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GIST [11] [Project]
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Shape Context [12] [Project]
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Color Descriptor [13] [Project]
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Pyramids of Histograms of Oriented Gradients [Code]
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Boundary Preserving Dense Local Regions [15][Project]
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Weighted Histogram[Code]
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An OpenCV - C++ implementation of Local Self Similarity Descriptors [Project]
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Fast Sparse Representation with Prototypes[Project]
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Corner Detection [Project]
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AGAST Corner Detector: faster than FAST and even FAST-ER[Project]
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Real-time Facial Feature Detection using Conditional Regression Forests[Project]
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Global and Efficient Self-Similarity for Object Classification and Detection[code]
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WαSH: Weighted α-Shapes for Local Feature Detection[Project]
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HOG[Project]
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Online Selection of Discriminative Tracking Features[Project]
二、图像分割Image Segmentation：
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Normalized Cut [1] [Matlab code]
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Gerg Mori’ Superpixel code [2] [Matlab code]
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Efficient Graph-based Image Segmentation [3] [C++ code] [Matlab wrapper]
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Mean-Shift Image Segmentation [4] [EDISON C++ code] [Matlab wrapper]
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OWT-UCM Hierarchical Segmentation [5] [Resources]
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Turbepixels [6] [Matlab code 32bit] [Matlab code 64bit] [Updated code]
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Quick-Shift [7] [VLFeat]
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SLIC Superpixels [8] [Project]
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Segmentation by Minimum Code Length [9] [Project]
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Biased Normalized Cut [10] [Project]
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Segmentation Tree [11-12] [Project]
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Entropy Rate Superpixel Segmentation [13] [Code]
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Fast Approximate Energy Minimization via Graph Cuts[Paper][Code]
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Efficient Planar Graph Cuts with Applications in Computer Vision[Paper][Code]
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Isoperimetric Graph Partitioning for Image Segmentation[Paper][Code]
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Blossom V: A new implementation of a minimum cost perfect matching algorithm[Code]
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An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Computer Vision[Paper][Code]
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Geodesic Star Convexity for Interactive Image Segmentation[Project]
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Contour Detection and Image Segmentation Resources[Project][Code]
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Biased Normalized Cuts[Project]
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Max-flow/min-cut[Project]
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Chan-Vese Segmentation using Level Set[Project]
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A Toolbox of Level Set Methods[Project]
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Re-initialization Free Level Set Evolution via Reaction Diffusion[Project]
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A Variational Multiphase Level Set Approach to Simultaneous Segmentation and Bias Correction[Paper][Code]
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Level Set Method Research by Chunming Li[Project]
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ClassCut for Unsupervised Class Segmentation[code]
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SEEDS: Superpixels Extracted via Energy-Driven Sampling [Project][other]
三、目标检测Object Detection：
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A simple object detector with boosting [Project]
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INRIA Object Detection and Localization Toolkit [1] [Project]
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Discriminatively Trained Deformable Part Models [2] [Project]
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Cascade Object Detection with Deformable Part Models [3] [Project]
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Poselet [4] [Project]
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Implicit Shape Model [5] [Project]
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Viola and Jones’s Face Detection [6] [Project]
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Bayesian Modelling of Dyanmic Scenes for Object Detection[Paper][Code]
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Hand detection using multiple proposals[Project]
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Color Constancy, Intrinsic Images, and Shape Estimation[Paper][Code]
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Discriminatively trained deformable part models[Project]
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Gradient Response Maps for Real-Time Detection of Texture-Less Objects: LineMOD [Project]
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Image Processing On Line[Project]
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Robust Optical Flow Estimation[Project]
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Where's Waldo: Matching People in Images of Crowds[Project]
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Scalable Multi-class Object Detection[Project]
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Class-Specific Hough Forests for Object Detection[Project]
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Deformed Lattice Detection In Real-World Images[Project]
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Discriminatively trained deformable part models[Project]
四、显著性检测Saliency Detection：
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Itti, Koch, and Niebur’ saliency detection [1] [Matlab code]
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Frequency-tuned salient region detection [2] [Project]
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Saliency detection using maximum symmetric surround [3] [Project]
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Attention via Information Maximization [4] [Matlab code]
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Context-aware saliency detection [5] [Matlab code]
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Graph-based visual saliency [6] [Matlab code]
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Saliency detection: A spectral residual approach. [7] [Matlab code]
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Segmenting salient objects from images and videos. [8] [Matlab code]
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Saliency Using Natural statistics. [9] [Matlab code]
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Discriminant Saliency for Visual Recognition from Cluttered Scenes. [10] [Code]
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Learning to Predict Where Humans Look [11] [Project]
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Global Contrast based Salient Region Detection [12] [Project]
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Bayesian Saliency via Low and Mid Level Cues[Project]
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Top-Down Visual Saliency via Joint CRF and Dictionary Learning[Paper][Code]
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Saliency Detection: A Spectral Residual Approach[Code]
五、图像分类、聚类Image Classification, Clustering
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Pyramid Match [1] [Project]
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Spatial Pyramid Matching [2] [Code]
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Locality-constrained Linear Coding [3] [Project] [Matlab code]
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Sparse Coding [4] [Project] [Matlab code]
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Texture Classification [5] [Project]
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Multiple Kernels for Image Classification [6] [Project]
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Feature Combination [7] [Project]
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SuperParsing [特征类型和图像分割
100天精通Python丨黑科技篇 —— 06Python 修图（滤镜灰度裁剪视觉处理图像分割特征提取）