SwisTrack/Components/BlobSelection
Description Edit
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 Edit
A binary (black and white) image.
Output Edit
A binary (black and white) image.
Parameters Edit
Area Selection Edit
Choose if a selection based on the blobs area is done.
Min. blob size Edit
Minimal area of a selected blob in pixels.
Max. blob size Edit
Maximal area of a selected blob in pixels.
Compactness Selection Edit
Choose if a selection based on the blobs compactness is done.
Min. compactness Edit
Minimal compactness of a selected blob (between 0 and 1).
Max. compactness Edit
Maximal compactness of a selected blob (between 0 and 1).
Orientation Selection Edit
Choose if a selection based on the blobs orientation is done.
Min. orientation Edit
Minimal orientation of a selected blob in degrees.
Max. orientation Edit
Maximal orientation of a selected blob in degrees.