Advantages of MSER
Because the regions are defined exclusively by the intensity function in the region and the outer border, this leads to many key characteristics of the regions which make them useful. Over a large range of thresholds, the local binarization is stable in certain regions, and have the properties listed below.
- Invariance to affine transformation of image intensities
- Covariance to adjacency preserving (continuous)transformation on the image domain
- Stability: only regions whose support is nearly the same over a range of thresholds is selected.
- Multi-scale detection without any smoothing involved, both fine and large structure is detected.
Note however that detection of MSERs in a scale pyramid improves repeatability, and number of correspondences across scale changes. - The set of all extremal regions can be enumerated in worst-case, where is the number of pixels in the image.
Read more about this topic: Maximally Stable Extremal Regions
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“To say that a man is your Friend, means commonly no more than this, that he is not your enemy. Most contemplate only what would be the accidental and trifling advantages of Friendship, as that the Friend can assist in time of need by his substance, or his influence, or his counsel.... Even the utmost goodwill and harmony and practical kindness are not sufficient for Friendship, for Friends do not live in harmony merely, as some say, but in melody.”
—Henry David Thoreau (1817–1862)