最大稳定极值区域

最大稳定极值区域（Maximally Stable Extremal Regions，簡稱MSER）是在计算机视觉领域中一种用于在图像中进行斑点检测的方法。这个方法由Matas等人J. Matas, O. Chum, M. Urban, and T. Pajdla. "Robust wide baseline stereo from maximally stable extremal regions."  Proc. of British Machine Vision Conference, pages 384-396, 2002.提出，用于在两个不同视角的图片中寻找对应关系。这种方法从图像中提取全面的元素对应关系，有助于宽基线匹配（wide-baseline matching），以及更好的立体匹配和物体识别算法。

其他应用
 Shape Descriptors for Maximally Stable Extremal Regions 
 Efficient Maximally Stable Extremal Region (MSER) Tracking 
 N-tree Disjoint-Set Forests for Maximally Stable Extremal Regions 
 Video Google and Object Level Grouping for Video Shots
 Real-Time Extraction of Maximally Stable Extremal Regions on an FPGA 
 Maximally Stable Colour Regions for Recognition and Matching

参见

斑点检测
特征检测

外部链接
 VLFeat , an open source computer vision library in C (with a MEX interface to MATLAB), including an implementation of MSER
 OpenCV, an open source computer vision library in C/C++, including an implementation of Linear Time MSER
 Detector Repeatabilty Study, Kristian Mikolajczyk Binaries (Win/Linux to compute MSER/HarrisAffine... . Binary used in his repeatability study.

参考文献

Category:计算机视觉