Fast Flaw Contour Recognition Algorithm in Online Plate Ultrasonic Testing

被引：0

作者：

Guo, Dayong ^{[1
]}

Zhang, Bowei ^{[1
]}

Que, Kailiang ^{[1
]}

Chen, Bin ^{[1
]}

He, Guang ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Mech Engn, Beijing 100084, Peoples R China

来源：

ISAF: 2009 18TH IEEE INTERNATIONAL SYMPOSIUM ON THE APPLICATIONS OF FERROELECTRICS | 2009年

关键词：

Contour Recognition; Convex Hull; Edge Detection; Ultrasonic Testing; CONVEX-HULL ALGORITHM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Flaw contour recognition is very important to heavy Plate Ultrasonic Testing (PUT) which is used to classify the plates used for ships, pressure vessels and nuclear power plants. The state-of-the-art contour recognition algorithm is too slow or inexact to be used in field. A Fast Flaw Contour Recognition (FFCR) algorithm is developed which is a hybrid of Convex Hull (CH) and Edge Detection (ED). This paper focuses on how to combine CH and ED to describe planar concave flaw contour and to recongize the flaw local outline quickly and exactly.

引用

页码：33 / 36

页数：4

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