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Automatic x-ray image characterisation for non-destructive evaluation

By Ying Yin and Gui Yun Tian


In this paper, firstly we introduce an automatic welding defect inspection system for X-ray image\ud evaluation, then, a novel image segmentation approach is proposed. In this approach, we first apply\ud an adaptive morphological filter (AMF) with an appropriate structuring element to remove noise and\ud most of the background image which is useless for defect identification. Secondly, edges were derived\ud from edge detection by using the Sobel operator. Morphological processing is used to make the edge\ud continuum and calculate the defect area. The defects segmentation method is also compared with\ud other methods. The performance of experimental results based on the proposed approach is\ud evaluated and has been found to be appropriate for automatic radiography Non-Destructive Evaluation\ud (NDE)

Topics: TA
Publisher: University of Huddersfield
Year: 2006
OAI identifier:

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