In the paper entitled "Speeded-Up Robust Features (SURF)" Bay et. al. mention that
... ‘interest points’ are selected at distinctive locations in the image, such as corners, blobs, and T-junctions.
Can someone explain to me what they mean by T-junctions?
Note: I'm using the SURF algorithm provided by OpenCV.
I'm not sure if this is the best place to ask this kind of question, but I could not find a better one.
Thanks in advance
Reference:
Bay, Herbert, et al. "Speeded-up robust features (SURF)." Computer vision and image understanding 110.3 (2008): 346-359.
It's actually pretty simple. It's a feature that looks like a T. Think of a street T-junction.
For example one edge that touches another edge perpendicularly.