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.
