Introduces fundamentals of fuzzy set processing theory and applications Describes all components of fuzzy image processing Details different methods of fuzzy image enhancement and filtering Covers the fundamentals of pattern classification Includes coverage of the authors' own fuzzy approaches Implements fuzzy image processing methods using MATLAB Summary In contrast to classical image analysis methods that employ "crisp" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks. However, a solid understanding of fuzzy processing requires a firm grasp of essential principles and background knowledge. Fuzzy Image Processing and Applications with MATLAB presents the integral science and essential mathematics behind this exciting and dynamic branch of image processing, which is becoming increasingly important to applications in areas such as remote sensing, medical imaging, and video surveillance, to name a few. Many texts cover the use of crisp sets, but this book stands apart by exploring the explosion of interest and significant growth in fuzzy set image processing.
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