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D. Chetverikov and Z. Szabo, “A Simple and Efficient Algorithm for Detection of High Curvature Points in Planner Curves,” Proceedings of 23rd work-shop of Australian Pattern Recognition Group, Steyr, 1999, pp.175-184.

has been cited by the following article:

• TITLE: Mining Corner Points on the Generic Shapes

  AUTHORS: M. Sarfraz, Z. N. K. Swati

  KEYWORDS: mining; corner points; corner detector; planar curves; generic shapes

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.3 No.1B, January 22, 2013

  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.