1 July 2002 New method of grain boundary extraction by directional optimal filtering: applying to estimate creep in metals
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Optical Engineering, 41(7), (2002). doi:10.1117/1.1480425
Abstract
it is economically important for manufacturers of high- temperature machines to be able to measure creep so they can predict residual service life more accurately. This paper describes and refines an image analysis method for evaluating creep in laboratory test pieces. it is a preliminary study of how to extract relevant information for creep measurement by counting cavities. Sample preparation for quantification by image analysis is an important step determining the further development of the image analysis technique. Grain-boundary extraction, which involves directional information, is the major problem to be solved before measurement can be automated. The search for a crest-line extraction filter by the Canny method has led to the development of a directional wavelet transform filter. The results of this innovative filtering method are applied here.
Stephane Journaux, Pierre Gouton, G. Thauvin, "New method of grain boundary extraction by directional optimal filtering: applying to estimate creep in metals," Optical Engineering 41(7), (1 July 2002). http://dx.doi.org/10.1117/1.1480425
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KEYWORDS
Wavelets

Image filtering

Digital filtering

Image analysis

Optical engineering

Fourier transforms

Metals

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