1995
DOI: 10.1016/0262-8856(95)97286-u
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Characterization of optical, electronic and topographic images in fatigue research

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Cited by 4 publications
(5 citation statements)
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“…Building upon this approach, in [2,3], the classification of images containing fatigue is proposed by categorizing them into three groups: (1) fractured surface imaging, (2) damaged surface imaging, and (3) deformed surface imaging. Each category corresponds to different acquisition and processing methods.…”
Section: Introductionmentioning
confidence: 99%
“…Building upon this approach, in [2,3], the classification of images containing fatigue is proposed by categorizing them into three groups: (1) fractured surface imaging, (2) damaged surface imaging, and (3) deformed surface imaging. Each category corresponds to different acquisition and processing methods.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the approach based on Fast Fourier Transforms (FFT), which needs large areas of well‐defined striations (Savary et al, ), the preferred striations spacing measurement method consists of the counting of striations displaced along a line parallel to crack growth direction, marked on digital images from a scanning electron microscope (SEM) and counting the grayscale peaks in corresponding profile (Hershko et al, ). It means that this method does not depend on the noise level or the regularity and extension of striation formations as FFT based ones, and the calibration is quite simple.…”
Section: Introductionmentioning
confidence: 99%
“…The fracture surface topography contains useful information: the loading history, the energy consumed on crack growth, the resistance of microstructural features against loading at crack front, extension of process zones, etc. Many techniques have been developed to measure fracture topography, being a large number of them based on scanning electron microscopy (SEM), including stereo reconstruction (Azevedo and Marques, ), frequency domain methods (Savary et al ., ), and direct measurement of fractal dimension data (Wzorek et al ., ). Stereo reconstruction quality mostly depends on the details revealed at the surface (Hein, ), with coating and beam voltage intensity being important issues.…”
Section: Introductionmentioning
confidence: 99%