What is Maximally Stable Extremal Regions (MSER)?

1. What is MSER in image processing?
2. What is MSER feature?
3. What does MSER stand for?

What is MSER in image processing?

MSER (Maximally Stable Extremal Regions) • MSER is a method for blob detection in images. The MSER algorithm extracts from an image a number of co-variant regions, called MSERs: an MSER is a stable connected component of some gray-level sets of the image .

What is MSER feature?

The MSER object checks the variation of the region area size between different intensity thresholds. The variation must be less than the value of the MaxAreaVariation parameter to be considered stable. Note. MSER feature detection is not suitable for use in images with extreme intensity value changes.

What does MSER stand for?

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