DocumentCode
2267422
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
fYear
1993
fDate
16-18 Aug 1993
Firstpage
1433
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location
Detroit, MI
Print_ISBN
0-7803-1760-2
Type
conf
DOI
10.1109/MWSCAS.1993.343380
Filename
343380
Link To Document