Title :
Thermographic nondestructive evaluation (NDE): an algorithm for automatic defect extraction in infrared images
Author :
Maldague, X. ; Krapez, J.C. ; Poussart, D.
Author_Institution :
Dept. of Electr. Eng., Laval Univ., Que., Canada
Abstract :
A practical algorithm for subsurface defect extraction (blobs) in infrared or in low spatial content images is proposed. It first locates potential defects by a spatial sorting of the pixels, placed in decreasing order, based on their brightness. Labeling of the pixels is based on the distance. Defect shape is grown by gradually decreasing the threshold until a sudden increase in the number of pixels agglomerates together or an image boundary is encountered
Keywords :
computer vision; computerised pattern recognition; infrared imaging; inspection; nondestructive testing; IR images; automatic defect extraction; brightness; computer vision; image boundary; inspection; pixel labelling; spatial sorting; thermographic nondestructive evaluation; Brightness; Councils; Displays; Feedback control; Human factors; Image segmentation; Infrared imaging; Inspection; Manipulators; Robot control;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
