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Fuzzy Filters for Image Processing (Paperback, Softcover reprint of hardcover 1st ed. 2003)
Loot Price: R5,582
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Fuzzy Filters for Image Processing (Paperback, Softcover reprint of hardcover 1st ed. 2003)
Series: Studies in Fuzziness and Soft Computing, 122
Expected to ship within 10 - 15 working days
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The ongoing increase in scale of integration of electronics makes
storage and computational power affordable to many applications.
Also image process ing systems can benefit from this trend. A
variety of algorithms for image processing tasks becomes close at
hand. From the whole range of possible approaches, those based on
fuzzy logic are the ones this book focusses on. A particular useful
property of fuzzy logic techniques is their ability to represent
knowledge in a way which is comprehensible to human interpretation.
The theory of fuzzy sets and fuzzy logic was initiated in 1965 by
Zadeh, and is one of the most developed models to treat imprecision
and uncertainty. Instead of the classical approach that an object
belongs or does not belong to a set, the concept of a fuzzy set
allows a gradual transition from mem bership to nonmembership,
providing partial degrees of membership. Fuzzy techniques are often
complementary to existing techniques and can contribute to the
development of better and more robust methods, as has already been
illustrated in numerous scientific branches. The present book
resulted from the workshop "Fuzzy Filters for Image Processing"
which was organized at the 10th FUZZ-IEEE Conference in Mel bourne,
Australia. At this event several speakers have given an overview of
the current state-of-the-art of fuzzy filters for image processing.
Afterwards, the book has been completed with contributions of other
international re searchers."
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