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.