Maximally Stable Extremum Regions (MSER)
Matas et al. (2002) were interested in defining image descriptors that are robust under perspective transformations. They studied level sets in the intensity landscape and measured how stable these were along the intensity dimension. Based on this idea, they defined a notion of maximally stable extremum regions and showed how these image descriptors can be used as image features for stereo matching.
There are close relations between this notion and the above mentioned notion of grey-level blob tree. The maximally stable extremum regions can be seen as making a specific subset of the grey-level blob tree explicit for further processing.
Read more about this topic: Blob Detection
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