engleski

Optical processing of interferometric fringes and detection of faults by wavelet filtering

The detection and classification of faults is a major task for optical non-destructive testing in industrial quality control. Interferometric fringes contain a large amount of input data with information about possible defect structures. One possible way for further evaluation is the filtering of these images applying the adaptive wavelet transform. Here we concentrate on the detection of the bend and compression class. With synthetically created ideal bend and compression fringe patterns we had the ability to test the resolution of our system and to find the best wavelet filters for these fault classes.

optical processing; optical filtering; liquid crystal display

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