Howtosignalprocessing
- How do you detect a Blob?
- What is MSER algorithm?
- What is blob detection in Opencv?
- How does blob analysis work?
How do you detect a Blob?
A natural approach to detect blobs is to associate a bright (dark) blob with each local maximum (minimum) in the intensity landscape. A main problem with such an approach, however, is that local extrema are very sensitive to noise.
What is MSER algorithm?
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 . • MSER is based on the idea of taking regions which stay nearly the same through a wide range.
What is blob detection in Opencv?
A Blob is a group of connected pixels in an image that share some common property ( E.g, grayscale value ). In the image above, the dark connected regions are blobs, and blob detection aims to identify and mark these regions.
How does blob analysis work?
The method of analyzing an image that has undergone binarization processing is called "blob analysis". A blob refers to a lump. Blob analysis is image processing's most basic method for analyzing the shape features of an object, such as the presence, number, area, position, length, and direction of lumps.
