文章基本信息

标题：On REE and EER Methods for Mining Corner Points on the Images
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作者：Muhammad Sarfraz ; Zarnawab N. K. Swati
期刊名称：Journal of Computer and Communications
印刷版ISSN：2327-5219
电子版ISSN：2327-5227
出版年度：2014
卷号：2
期号：2
页码：91-96
DOI：10.4236/jcc.2014.22016
出版社：Scientific Research Publishing
摘要：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.
关键词：Mining; Corner Points; Corner Detector; Planar Curves; Images