Title :
Thermal-wave image processing for characterization of subsurface flaws in materials
Author :
Gopalan, K. ; Gopalsami, N.
Author_Institution :
Dept. of Eng., Purdue Univ. Calumet, Hammond, IN, USA
Abstract :
Infrared images resulting from back-scattered thermal waves in composite materials are corrupted by instrument noise and sample heat-spread function. This paper demonstrates that homomorphic deconvolution and “demultiplication” result in enhanced image quality for characterization of subsurface flaws in Kevlar and graphite composites. The choice of processing depends on material characteristics and extent of noise in the original image
Keywords :
composite materials; deconvolution; flaw detection; image enhancement; infrared imaging; IR images; Kevlar; back-scattered thermal waves; characterization; composite materials; demultiplication; enhanced image quality; graphite composites; homomorphic deconvolution; infrared images; instrument noise; sample heat-spread function; subsurface flaws; thermal-wave image processing; Image processing; Infrared detectors; Infrared heating; Infrared imaging; Lamps; Photothermal effects; Surface cracks; Surface waves; Temperature; Thermal conductivity;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343380
