SwisTrack/Components/BlobSelection

Description
This component detects the blobs resulting of a thresholding step and keeps those with their area, orientation and compactness between specified boundaries. It is really close to the blob detection component. The only difference is that the result is a black and white image and not particles. Therefore, additional binary processing can be done after this method (Such as erosion or dilation).

Input


A binary (black and white) image.

Output


A binary (black and white) image.

Area Selection
Choose if a selection based on the blobs area is done.

Min. blob size
Minimal area of a selected blob in pixels.

Max. blob size
Maximal area of a selected blob in pixels.

Compactness Selection
Choose if a selection based on the blobs compactness is done.

Min. compactness
Minimal compactness of a selected blob (between 0 and 1).

Max. compactness
Maximal compactness of a selected blob (between 0 and 1).

Orientation Selection
Choose if a selection based on the blobs orientation is done.

Min. orientation
Minimal orientation of a selected blob in degrees.

Max. orientation
Maximal orientation of a selected blob in degrees.