TY - JOUR
T1 - A robust segmentation approach based on analysis of features for defect detection in X-ray images of aluminium castings
AU - Lecomte, G.
AU - Kaftandjian, V.
AU - Cendre, Emmanuelle
AU - Babot, D.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - Energiteknologier på vej
U2 - 10.1784/insi.2007.49.10.572
DO - 10.1784/insi.2007.49.10.572
M3 - Journal article
SN - 1354-2575
VL - 49
SP - 572
EP - 577
JO - Insight - Non-Destructive Testing and Condition Monitoring
JF - Insight - Non-Destructive Testing and Condition Monitoring
IS - 10
ER -