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In this PR, the Harris corner detector from OpenCV is used for detecting sharp corners or cusps in binary images. If a sharp corner or cusp is detected, a warning message will be printed out.
The detection is not successful in every cases. A feature may be mistakenly classified as a sharp corner or cusp if the resolution is too low. On the other hand, a sharp corner or cusp may not be recognized if the angle is smaller than ~30° or larger than ~120°. Changing some parameters can easily increase the true positive rate, but also increase the false positive rate. This issue was partially investigated here.