6/15/2012

Fuzzy Filters for Image Processing (Studies in Fuzziness and Soft Computing) Review

Fuzzy Filters for Image Processing (Studies in Fuzziness and Soft Computing)
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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 authors, since their style of writing is clear and concise. Good work, authors and editors!

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This book covers a wide range of both theoretical and practical applications of fuzzy filters for image processing. The focus is on problems of noise removal, edge detection and segmentation , image enhancement and further specific applications of fuzzy filters. It is demonstrated how soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to this problems. Often these techniques are complementary to existing classical techniques and contribute to a more robust performance. 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.

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