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M. Sarfraz and Z. N. K. Swati, “Mining Corner Points on the Generic Shapes,” Open Journal of Applied Sciences, Vol. 3, No. 1B, 2013, pp. 10-15. http://dx.doi.org/10.4236/ojapps.2013.31B003

has been cited by the following article:

• TITLE: On REE and EER Methods for Mining Corner Points on the Images

  AUTHORS: Muhammad Sarfraz, Zarnawab N. K. Swati

  KEYWORDS: Mining; Corner Points; Corner Detector; Planar Curves; Images

  JOURNAL NAME: Journal of Computer and Communications, Vol.2 No.2, January 10, 2014

  ABSTRACT: This paper reviews, implements and compares two corner detection algorithms for mining corner points on the generic shapes. These corner detectors detect corners by using combination of one rectangle (R) and two ellipses (EE). These algorithms have been used with different combinations: REE and EER together with different parameter settings in their descriptions. REE and EER combinations slide along the boundary of the shape and record number of boundary points in each rectangle and ellipses. REE and EER setup represent both local and global views of the image outlines and present natural corner detection methodologies to detect and mine all true corners accurately. A comparative study demonstrates the superiority of the REE and EER over some of the existing algorithms.