Edge Detection of Tube-type Bottle Image Based on Mathematical Morphology

被引：0
|
作者：
Jiang Weiwei [1 ]
Yang Ping [1 ]
Guo Mingming [1 ]
机构：
[1] Hefei Univ Technol, Sch Comp & Informat, Hefei 230009, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): COMPUTER VISION AND IMAGE ANALYSIS: PATTERN RECOGNITION AND BASIC TECHNOLOGIES | 2012年 / 8350卷
关键词：
edge detection; gray-scale morphology; multi-structural elements;
D O I：
10.1117/12.920535
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The edge extraction is the key in the research on the application of the machine vision in the detection area. Classical edge detection algorithm's anti-noise performance is poor. The traditional morphological edge detection algorithm has good anti-noise performance, but it have a bad edge performance. In this paper, Multi-structure element morphology edge detection algorithm was used for the bottle mouth and the bottle body image edge detection. And, it was compared with classical edge detction and traditional morphological edge detection operator. The experimental results show that the gray-scale morphological edge detection algorithm is efficient, has strong anti-noise capability, improve the detection accuracy.
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页数：4
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