Abstract
This paper develops an integrative scheme combining new image acquisition, filtering and enhancement methods specified for orthogonal weld defect detection based on magneto-optical imaging (MOI) technique. For image acquisition, a controllable magnetic system enabling rotation of magnetic angles is invented to accurately collect MO images. Multiple images are acquired, yet few are utilized for further processing in the conventional method based on human subjective preferences, bearing chances that images containing defects are discarded. Therefore, we turn to an automated-filtering system to scrutinize MO images and filter effective images through Bhattacharyya coefficient screening method. This not only elevates efficiency and objectivity but also eliminates missed inspection. For image enhancement, normalization method is used to balance the image intensity, followed by image fusion and edge extraction by a two-dimensional gradient method. Our pre- and post-processing approaches significantly improve accuracy in defect recognition and precision in MO images.
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