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论文类型：期刊论文

发表时间：2008-10-01

发表刊物：NDT & E INTERNATIONAL

收录刊物：SCIE、EI、Scopus

卷号：41

期号：7

页面范围：517-524

ISSN号：0963-8695

关键字：weld defect detection; X-ray image; support vector machine (SVM); Hough transform

摘要：Because X-ray images of weld contain uncertain noise and also the defects inside them have low contrast to their background, it is difficult to detect weld defects of X-ray images. The goal of this paper is to locate and segment the line defects in X-ray images. Firstly, we present an approach to extract features of X-ray images with multiple thresholds. Then, use the support vector machine (SVM) technique to classify the defect and non-defect features to obtain a coarse defect region. Furthermore, perform the Hough transform to remove the noisy pixels in the coarse defect region. Then the defect is located and segmented. The experimental results show that the proposed approach is effective and feasible to segment and locate defects in noisy and low contrasted X-ray images of weld. (c) 2008 Elsevier Ltd. All rights reserved.