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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