In computer vision, maximally stable extremal regions (MSER) are used as a method of blob detection in images.
This technique is used to find correspondences between image elements from two images with different viewpoints. This method of extracting a comprehensive number of corresponding image elements contributes to the wide-baseline matching, and it has led to better stereo matching and object recognition algorithms.