Maximally stable extremal regions

In computer vision, maximally stable extremal regions (MSER) technique is used as a method of blob detection in images. This technique was proposed by Matas et al. to find correspondences between image elements taken 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.

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