摘要
准确识别X射线底片焊缝缺陷类别,可改进焊接工艺、提高焊接质量.该文在分析和比较几种焊缝缺陷识别模式的基础上,提出了基于支持向量机(SVM)的X射线底片焊缝缺陷识别方法.该方法首先对X射线底片进行数字化处理和缺陷特征提取,然后针对X射线底片焊缝缺陷样本特点,建立SVM"一对一"聚类结构并对样本进行识别.实验结果表明,该模型具有识别精度高、速度快、容易实现等优点,适合对X射线底片焊缝缺陷识别.
It is important to detect defects of welding lines on an X-ray film for improving welding techniques and the product quality. This paper proposes a detection method based on support vector machine based on analysis and comparison with several other methods. In the proposed method, the film is first converted into digital format, and characteristics of the defect are extracted. A “one against one” SVM clustering structure is constructed according to the characteristics, and recognition is made. Experiments show high accuracy and processing speed, and easy implementation of the method. The method is suitable for detection and recognition of defects of welding lines from X-ray films.
出处
《应用科学学报》
CAS
CSCD
北大核心
2008年第4期418-424,共7页
Journal of Applied Sciences
基金
国家自然科学基金资助项目(No.70672096)
关键词
X射线底片
焊缝缺陷
支持向量机
识别
X-ray film, defect of welding line, support vector machine, recognition
