Edge-detection method using binary morphology on hexagonal images

被引:14
|
作者
Mostafa, K. [1 ]
Chiang, J. Y. [2 ]
Her, I. [1 ]
机构
[1] Natl Sun Yat Sen Univ, Dept Mech & Electromech Engn, Kaohsiung 80424, Taiwan
[2] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 80424, Taiwan
来源
IMAGING SCIENCE JOURNAL | 2015年 / 63卷 / 03期
关键词
Hexagonal grid; Binary morphology; Edge detection; Noise removal;
D O I
10.1179/1743131X14Y.0000000098
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
This paper proposes a new edge-detection and noise-removal method for hexagonally sampled images by using binary morphology edge detection on hexagonally sampled images. This is achieved by applying binary morphological operators on hexagonal images. This approach presents a framework for conversion of hexagonally sampled images and processing to detect edges on a hexagonal grid. The proposed study shows that a method combining horizontal, 60 degrees and 120 degrees directional hexagonal structuring elements achieves results superior to those of a rectangular image. The experimental results showed that the proposed method was more efficient for binary hexagonal image edge detection and noise removal than the commonly used rectangular image.
引用
收藏
页码:168 / 173
页数:6
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