Journal article
A robust segmentation approach based on analysis of features for defect detection in X-ray images of aluminium castings
A robust image processing algorithm has been developed for detection of small and low contrasted defects, adapted to X-ray images of castings having a non-uniform background. The sensitivity to small defects is obtained at the expense of a high false alarm rate. We present in this paper a feature extraction approach to complement the image processing, reducing the false alarms rate, while keeping a high defect detection rate, which is impossible by image processing techniques alone.
ROC curves show a very good performance by using a new feature parameter, called 'Defect Confidence Index', combining three parameters and taking into account the fact that X-ray grey-levels follow a statistical normal law. Results are shown on a set of 684 images, involving 59 defects, on which we obtained a 100% detection rate without any false alarm.
Language: | English |
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Year: | 2007 |
Pages: | 572-577 |
ISSN: | 17544904 , 13542575 and 09540555 |
Types: | Journal article |
DOI: | 10.1784/insi.2007.49.10.572 |