Fuzzy Filters For Image Processing (studies In Fuzziness And Soft Computing)

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. How soft computing techniques such as fuzzy set theory and fuzzy logic can be successfully applied to these problems is demonstrated. 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. 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. Front Matter....Pages I-XIV Front Matter....Pages 1-1 Fuzzy Filters for Noise Removal....Pages 3-24 Fuzzy Filters for Noise Reduction in Images....Pages 25-53 Real-time Image Noise Cancellation Based on Fuzzy Similarity....Pages 54-71 Fuzzy Rule-Based Color Filtering Using Statistical Indices....Pages 72-97 Front Matter....Pages 99-99 Fuzzy Based Image Segmentation....Pages 101-128 Fuzzy Thresholding and Histogram Analysis....Pages 129-152 Color Image Segmentation by Analysis of 3D Histogram with Fuzzy Morphological Filters....Pages 153-177 Fast and Robust Fuzzy Edge Detection....Pages 178-194 Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation....Pages 195-215 Front Matter....Pages 217-217 Fuzzy Image Enhancement in the Framework of Logarithmic Models....Pages 219-237 Observer-Dependent Image Enhancement....Pages 238-270 Front Matter....Pages 271-271 Fuzzy Techniques in Digital Image Processing and Shape Analysis....Pages 273-305 Adaptive Fuzzy Filters and Their Application to Online Maneuvering Target Tracking....Pages 306-338 Lossy Image Compression and Reconstruction Based on Fuzzy Relational Equation....Pages 339-355 Avoidance of Highlights through ILFOs in Automated Visual Inspection....Pages 356-371 Back Matter....Pages 372-386

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.