Title :
Fast Flaw Contour Recognition algorithm in online Plate Ultrasonic Testing
Author :
Guo, Dayong ; Zhang, Bowei ; Que, Kailiang ; Chen, Bin ; He, Guang
Author_Institution :
Dept. of Mech. Eng., Tsinghua Univ., Beijing, China
Abstract :
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 recognize the flaw local outline quickly and exactly.
Keywords :
edge detection; flaw detection; mechanical engineering computing; plates (structures); ultrasonic materials testing; convex hull; edge detection; fast flaw contour recognition algorithm; flaw local outline; nuclear power plants; online plate ultrasonic testing; planar concave flaw contour; pressure vessels; ships; Automatic testing; Helium; Image edge detection; Marine vehicles; Mechanical engineering; Partitioning algorithms; Power generation; Runtime; System testing; Contour Recognition; Convex Hull; Edge Detection; Ultrasonic Testing;
Conference_Titel :
Applications of Ferroelectrics, 2009. ISAF 2009. 18th IEEE International Symposium on the
Conference_Location :
Xian
Print_ISBN :
978-1-4244-4970-5
Electronic_ISBN :
1099-4734
DOI :
10.1109/ISAF.2009.5307621
