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.

Parameters

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.