Journal
MICROSCOPY AND MICROANALYSIS
Volume 12, Issue 2, Pages 178-186Publisher
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S143192760606003X
Keywords
dynamic programming; fractal dimension; surface roughness; SEM; stereomicroscopy
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Scanning electron microscopy (SEM) is widely used ill Surface studies and continuous efforts are carried out ill the search of estimators of different surface characteristics. By using the variogram, we developed two of these estimators that were used to characterize the surface roughness from the SEM image texture. One of the estimators is related to the crossover between fractal region at low scale and the periodic region at high scale, whereas the other estimator characterizes the periodic region. In this work, a full study of these estimators and the fractal dimension in two dimensions (2D) and three dimensions (3D) was carried out for emery papers. We show that the obtained fractal dimension with only one image is good enough to characterize the roughness surface because its behavior is similar to those obtained with 3D height data. We show also that the estimator that indicates the crossover is related to the minimum cell size ill 2D and to the average particle size in 3D. The other estimator has different Values for the three studied emery papers in 2D but it does not have a clear meaning, and these values are similar for those studied samples in 3D. Nevertheless, it indicates the formation tendency of compound cells. The fractal dimension values from the variogram and from In area versus step log-log graph were studied with 3D data. Both methods yield different Values corresponding to different information from the samples.
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