材料与冶金学报2016，Vol.15Issue(1)：76-80,5.DOI:10.14186/j.cnki.1671-6620.2016.01.015
基于图像特征提取的在役管线故障缺陷的分类
Fault classification of the in-service pipeline based on image feature extraction
尹健 1邢韵 1刘松凯1
作者信息
- 1. 中国科学院 沈阳自动化研究所，沈阳 110014
- 折叠
摘要
Abstract
The main types of the fault of the base metal and the welding -line of the in -service pipeline were analyzed. According to the characteristics of the X - ray film,the characteristic parameters were determined. A feature extraction algorithm was proposed It may provide an important base for the intelligent recognition and the fault classification of the in-service pipeline of the x ray image.关键词
在役管线/母材缺陷/焊缝缺陷/特征参数/边界分析/故障分类Key words
in -service pipeline/base metal defect/welding - line defect/characteristic parameters/boundary analysis/fault classification分类
通用工业技术引用本文复制引用
尹健,邢韵,刘松凯..基于图像特征提取的在役管线故障缺陷的分类[J].材料与冶金学报,2016,15(1):76-80,5.
