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MATLAB linearly interpolates data values in between across the colormap and clamps data values outside to either the first or last alphamap colormap color, whichever is closest. Respectively in 7, 8, and 9. Abstract: The common overlapping electrical sectioning device applied in our electrified railways are of three types. 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：.
Local Self-Similarity Descriptor Global and Efficient Self-Similarity Histogram of Oriented Graidents Pyramids of Histograms of Oriented Gradients Space-Time Interest Points (STIP) Boundary Preserving Dense Local Regions When CLimMode is auto (the default), MATLAB assigns cmin the minimum data value and cmax the maximum data value in the graphics objects CData.Affine Covariant Features 13 matlab r2016b 14 matlab 15 matlab 16 matlab 17 matlab 18 matlab 19 matlab nan 20 matlab 21 matlab 22 matlab 23 matlab 24 matlab 25 matlab 26 matlab. MATLAB linearly interpolates data values in between across the colormap and clamps data values outside to either the first or last alphamap colormap color, whichever is closest.
Matching local self-similarities across images and videos, CVPR, 2007. Shape matching and object recognition using low distortion correspondences. Robust wide baseline stereo from maximally stable extremal regions.
Snoek, Evaluating Color Descriptors for Object and Scene Recognition, PAMI, 2010. Shape matching and object recognition using shape contexts, PAMI, 2002. Modeling the shape of the scene: a holistic representation of the spatial envelope, IJCV, 2001. Histograms of Oriented Gradients for Human Detection.
Matlab 2012 图片相减 Code Efficient Graph
Mean Shift: A Robust Approach Toward Feature Space Analysis. Efficient Graph-Based Image Segmentation, IJCV 2004. Learning a classification model for segmentation. Shi and J Malik, Normalized Cuts and Image Segmentation, PAMI, 2000 Gerg Mori' Superpixel code Efficient Graph-based Image Segmentation Mean-Shift Image Segmentation OWT-UCM Hierarchical Segmentation Turbepixels Segmentation by Minimum Code Length Entropy Rate Superpixel Segmentation Grauman, Boundary Preserving Dense Local Regions, CVPR 2011.
Malik, Biased Normalized Cut, CVPR 2011 Ma , Unsupervised Segmentation of Natural Images via Lossy Data Compression, CVIU, 2007. Susstrunk, SLIC Superpixels, EPFL Technical Report, 2010. Soatto, Quick Shift and Kernel Methodsfor Mode Seeking, ECCV, 2008. Siddiqi, TurboPixels: Fast Superpixels Using Geometric Flows, PAMI 2009.
Viola and Jones's Face Detection Chellappa , Entropy Rate Superpixel Segmentation, CVPR 2011 A simple object detector with boosting INRIA Object Detection and Localization Toolkit Discriminatively Trained Deformable Part Models Cascade Object Detection with Deformable Part Models Ahuja, “A Transform for Multiscale Image Segmentation by Integrated Edge and Region Detection,” PAMI 1996
Itti, Koch, and Niebur' saliency detection Frequency-tuned salient region detection Saliency detection using maximum symmetric surround Attention via Information Maximization Context-aware saliency detection Graph-based visual saliency Saliency detection: A spectral residual approach. Jones, Rapid Object Detection Using a Boosted Cascade of Simple Features, CVPR 2001. Robust Object Detection with Interleaved Categorization and Segmentation, IJCV, 2008. Malik, Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations, ICCV 2009 Cascade Object Detection with Deformable Part Models.
Learning to Predict Where Humans Look Discriminant Saliency for Visual Recognition from Cluttered Scenes. Saliency Using Natural statistics.
Sun: A bayesian framework for saliency using natural statistics. Segmenting salient objects from images and videos. Saliency detection: A spectral residual approach. Graph-based visual saliency. Context-aware saliency detection.
CVPR 2011.Locality-constrained Linear Coding Sparse Coding Multiple Kernels for Image Classification Global Contrast based Salient Region Detection. Torralba, Learning to Predict Where Humans Look, ICCV, 2009.
Zisserman, Multiple Kernels for Object Detection. Zisserman, A statistical approach to texture classification from single images, IJCV2005. Huang, Linear Spatial Pyramid Matching using Sparse Coding for Image Classification, CVPR, 2009 Locality-constrained Linear Coding for Image Classification, CVPR, 2010 Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, CVPR 2006
Constrained Parametric Min-Cuts for Automatic Object Segmentation, CVPR 2010. Ferrari, What is an Object?, CVPR 2010 Lazebnik, SuperParsing: Scalable Nonparametric ImageParsing with Superpixels, ECCV 2010.
Zabih, Fast Approximate Energy Minimization via Graph Cuts, PAMI 2001 Shadow Detection using Paired Region
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