Mathematical morphology for TOFD image analysis and automatic crack detection
Mathematical morphology for TOFD image analysis and automatic crack detection
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DOI：
10.1016/j.ultras.2014.03.005
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发表时间：
2014-08-01
期刊：
影响因子：
4.2
通讯作者：
Boudraa, Bachir
中科院分区：
文献类型：
--
作者：
Merazi-Meksen, Thouraya;Boudraa, Malika;Boudraa, Bachir
本工作的目的是在无损检测（NDT）技术，称为飞行时间衍射（TOFD），以帮助决策过程中的超声图像的自动化解释，在本文中，数学形态学方法被用来提取相关像素对应的存在的不连续性，和模式识别技术被用来表征的不连续性。利用分水岭技术来确定感兴趣的区域，并使用腐蚀过程去除图像背景，从而提高了图像中存在的连接形状的检测。剩余的形状，最后减少到曲线，使用一个插值技术。在裂纹缺陷的情况下，由这样的像素形成的曲线具有抛物线形式，其可以使用随机化霍夫变换来自动检测。(C)2014爱思唯尔有限公司版权所有。
The aim of this work is to automate the interpretation of ultrasonic images during the non-destructive testing (NDT) technique called time-of-flight diffraction (TOFD) to aid in decision making.In this paper, the mathematical morphology approach is used to extract relevant pixels corresponding to the presence of a discontinuity, and a pattern recognition technique is used to characterize the discontinuity. The watershed technique is exploited to determine the region of interest and image background is removed using an erosion process, thereby improving the detection of connected shapes present in the image. Remaining shapes, are finally reduced to curves using a skeletonization technique. In the case of crack defects, the curve formed by such pixels has a parabolic form that can be automatically detected using the randomized Hough transform. (C) 2014 Elsevier B.V. All rights reserved.