Fuzzy Filters for Image Processing (Studies in Fuzziness and Soft Computing)
| Author | : | |
| Rating | : | 4.12 (706 Votes) |
| Asin | : | 3540004653 |
| Format Type | : | paperback |
| Number of Pages | : | 390 Pages |
| Publish Date | : | 2014-09-29 |
| Language | : | English |
DESCRIPTION:
A Customer said A comprehensive presentation - not another papers collection. This book contains a very thorough and concrete presenation of combined soft computing and image processing approaches. Even though a relatively wide knowledge of fuzzy logic is required, this book can be thought of as "the best of both worlds".The chapter "Fuzzy data fusion for multiple cue image and video segmentation", by Ioannou et al., is a representative example of the book's completeness, since it describes fuzzy data fusion techniques capable of integrating multicue segmentation results to provide consistent image partitioning based on moving objects. I'm looking forward to more articles by these autho
Afterwards, the book has been completed with contributions of other international re searchers.. At this event several speakers have given an overview of the current state-of-the-art of fuzzy filters for image processing. 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. Also image process ing systems can benefit from this trend. 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. A variety of algorithms for image processing tasks becomes close at hand. 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. From the whole range of possible approaches, those based on fuzzy logic are the ones this book focusses on. 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. The ongoing increase in scale of integ
The book is written by international experts giving an overview of the current state of the art of fuzzy filters for image processing and can be used as a reference for researchers and practitioners in the field. The focus is on problems of noise removal, edge detection and segmentation, image enhancement and further specific applications of fuzzy filters. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. . From the Back CoverThis book covers a wide range of both theoretical and practical applications of fuzzy filters for image p