Abstract
Zadeh (4) introduced the notion of fuzzy set theory and Goetcherian (6) showed how fuzzy logic could extend a variety of binary image processes into a multi-valued (grey image) domain. This paper introduces the basics of fuzzy set theory and discusses the suitability of the physically parallel CLIP machine for implementing the multi-valued operators. A form of spatial filtering is explained and its application to shape discrimination and image segmentation is shown. Finally, an application to a real image processing problem is illustrated.
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References
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© 1981 D. Reidel Publishing Company
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Pass, S.D. (1981). Segmentation by Shape Discrimination Using Spatial Filtering Techniques. In: Simon, J.C., Haralick, R.M. (eds) Digital Image Processing. NATO Advanced Study Institutes Series, vol 77. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-8543-8_14
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DOI: https://doi.org/10.1007/978-94-009-8543-8_14
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-009-8545-2
Online ISBN: 978-94-009-8543-8
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