ABSTRACT This paper designs and implements a corner detection algorithm for mining corner points on the generic shapes. The proposed corner detector detects corners by using combination of one rectangle and two ellipses (REE) with different parameter settings in their descriptions. REE combination slides along the boundary of the shape and records number of boundary points in each rectangle and ellipses. REE setup represents both local and global views of the image outline. The proposed technique presents a natural corners detection methodology to detect all true corners accurately. This technique is consistent with human vision system.
Cite this paper
M. Sarfraz and Z. Swati, "Mining Corner Points on the Generic Shapes," Open Journal of Applied Sciences, Vol. 3 No. 1, 2013, pp. 10-15. doi: 10.4236/ojapps.2013.31B003.
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