Springer, 2017. — 141.This book is the result of many years of teaching image processing and fuzzy logic taught by the authors for undergraduate courses. Most of the material used is also the result of fertile interactions with the students whose case studies contributed a lot in the Java implementation of algorithms and methods. The volume has been conceived as a gentle introduction to fuzzy logic approaches useful in image processing tasks. First we describe image processing algorithms based on fuzzy logic under a methodological point of view. Then, we provide some practical applications without passing over the important formal details. We tried to identify the most important works that researchers have done in the area of fuzzy image processing, and we described and illustrated them through Java examples that the interested readers can easily follow. The book covers both theoretical and practical applications of fuzzy techniques in image processing. Accordingly, the chapters have been grouped into two parts: Fundamentals of Fuzzy Image Processing and Applications to Image Processing.Part I Fundamentals of Fuzzy Image Processing Image Representation Using Java Low-Level Image Processing Basics of Fuzzy Logic Fuzzy Image Processing Java for Image Processing Part II Application to Image Processing Color Contrast Enhancement Image Segmentation Morphological Analysis Image Thresholding A: Java Code References
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