Abstract
We propose a novel method which detects convex and concave corners using
radial projection. The sum of two neighbors' differences at the local maxima
or minima of the radial projection is compared with the angle threshold for
detecting corners. In addition, the use of oriented bounding box trees and partial
circles makes it possible to detect the corners of complex shapes. The experimental
results show that the proposed method can separately detect the convex and concave
corners, and that this method is scale invariant.
© 2011 Optical Society of Korea
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