ApplicationsA fuzzy logic approach to edge detection in HREM images of III–V crystals
References (15)
Fuzzy sets
Information and Control
(1965)- et al.
Compositional and structural characterization of SixGe1−x alloys and heterostructures by high resolution electron microscopy
Ultramicroscopy
(1993) - et al.
A fuzzy logic approach to quantitative HREM
Fuzzy Set Theory—and Its Applications
(1991)- M. E. Scaman and L. Kurz, Fisher transformation techniques for detection of textured lines and edges using a...
Edge detection using template matching
- J. Park and L. Kurz, Unsupervised segmentation of textured images, Inform. Sci....
There are more references available in the full text version of this article.
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The authors are grateful to Ch. Bauer (Halle) for stimulating discussions. Thanks are due to P. Werner and H. Hofmeister (Halle) for their support in the field of electron microscopy.
Copyright © 1996 Published by Elsevier Inc.