Edge Detection Algorithm based on Morphology and Grey Relation Analysis

被引：0
|
作者：
Zheng, Zhen [1 ]
Zha, Bingting [1 ]
Yuan, Hailu [1 ]
Xuchen, Youshi [1 ]
机构：
[1] Nanjing Univ Sci & Technol, ZNDY Minist Key Lab, Nanjing, Jiangsu, Peoples R China
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA) | 2019年
基金：
中国国家自然科学基金;
关键词：
Image processing; Edge detection; Grey relation analysis; Mathematical morphology; Ostu;
D O I：
10.1109/icma.2019.8816311
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the problem that the traditional edge detection operator are sensitive to noise and the positioning accuracy is not high, an edge detection algorithm based on morphology and grey relation analysis is designed, Grey relation analysis is used to denoise pre-processing of images, Ostu is used to adaptively generate the binarized image, a computing model based on mathematical morphology is designed to detect edges. The simulation results show that the edge detection algorithm proposed in this paper has stronger anti-noise ability and edge location ability than the traditional edge detection operators, which can provide reference for edge detection in the field of artificial intelligence.
引用
收藏
页码：945 / 950
页数：6
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