Ultrasonic image restoration based on support vector machine for surfacing interface testing

被引：0
|
作者：
高双胜
刚铁
迟大钊
机构：
[1] State Key Laboratory of Advanced Welding Production Technology Harbin Institute of Technology
[2] State Key Laboratory of Advanced Welding Production Technology Harbin Institute of Technology
[3] Harbin 150001
来源：
China Welding | 2007年 / 02期
关键词：
ultrasonic C-scan; surfacing interface; support vector regression (SVR); image restoration;
D O I：
暂无
中图分类号：
TG441.7 [焊接缺陷及质量检查];
学科分类号：
080201 ; 080503 ;
摘要：
In order to restore the degraded ultrasonic C-scan image for testing surfacing interface, a method based on support vector regression (SVR) network is proposed. By using the image of a simulating defect, the network is trained and a mapping relationship between the degraded and restored image is founded. The degraded C-scan image of Cu-Steel surfacing interface is processed by the trained network and improved image is obtained. The result shows that the method can effectively suppress the noise and deblur the defect edge in the image, and provide technique support for quality and reliability evaluation of the surfacing weld.
引用
收藏
页码：27 / 30
页数：4
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