作者：李雅1，乔伟哲2
单位：1. 山西工商学院计算机信息工程学院，山西太原 030006；
      2. 山西国营大众机械厂军品第一研究所，山西太原 030024
中图分类号：TN911.73，TP391.9     
文献标识码：A  
文章编号：1006-883X(2017)09-0013-04
收稿日期：2017-06-22

摘要：在工业焊缝不规则气孔缺陷的无损检测过程中，由于利用X射线拍摄的数字图像对比度低、噪声大、图像灰度变化复杂，缺陷边缘信息难以提取。针对上述问题，本文首先利用自适应中值滤波消除利用X射线拍摄的数字图像无缺陷的焊缝区域和背景区域，然后利用优化的模糊增强算法对图像边缘进行增强处理，最后分离提取出缺陷区域。通过实验对比，本文采用的方法检测精度高，处理速度快，具有较好的工程应用价值。
关键词：焊缝不规则缺陷；模糊增强算法；自适应中值滤波；边缘提取

Research on irregular defect edge extraction based on fuzzy enhancement algorithm
LI Ya1, QIAO Wei-zhe1
1. Computer information engineering institute, Shanxi Technology and Business College, Taiyuan 030006, China; 2. Shanxi Institute of State-Run Public Machinery Factory, Taiyuan 030024, China
Abstract: In the nondestructive testing processes of irregular blowhole defects of industrial welds, the digital images taken with X-rays have the disadvantages of low contrast, large noise, complex changes of image gray, and difficult-to-extract defect edge information. Aiming at these problems, adaptive median filtering method is used to eliminate the undefective weld areas and background areas. Then optimized fuzzy enhancement algorithm is used to complete image edge enhancement processing. Finally, the defect areas are separated and extracted. The comparative experiments show that this defect separation and extraction method has high defect detection precision and fast processing speed, and has good engineering application value.
Keywords: irregular weld defects; fuzzy enhancement algorithm;  adaptive median filtering ; edge detection.

备注：2017年 第23卷 第09期