SwisTrack/Components/BlobSelection

Contents

DescriptionEdit

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).

InputEdit

A binary (black and white) image.

OutputEdit

A binary (black and white) image.

ParametersEdit

Area SelectionEdit

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

Min. blob sizeEdit

Minimal area of a selected blob in pixels.

Max. blob sizeEdit

Maximal area of a selected blob in pixels.

Compactness SelectionEdit

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

Min. compactnessEdit

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

Max. compactnessEdit

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

Orientation SelectionEdit

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

Min. orientationEdit

Minimal orientation of a selected blob in degrees.

Max. orientationEdit

Maximal orientation of a selected blob in degrees.