A comprehensive guide to the essential principles of imageprocessing and pattern recognition
Techniques and applications in the areas of image processing andpattern recognition are growing at an unprecedented rate.Containing the latest state-of-the-art developments in the field,Image Processing and Pattern Recognition presents clearexplanations of the fundamentals as well as the most recentapplications. It explains the essential principles so readers willnot only be able to easily implement the algorithms and techniques,but also lead themselves to discover new problems andapplications.
Unlike other books on the subject, this volume presents numerousfundamental and advanced image processing algorithms and patternrecognition techniques to illustrate the framework. Scores ofgraphs and examples, technical assistance, and practical toolsillustrate the basic principles and help simplify the problems,allowing students as well as professionals to easily grasp evencomplicated theories. It also features unique coverage of the mostinteresting developments and updated techniques, such as imagewatermarking, digital steganography, document processing andclassification, solar image processing and event classification,3-D Euclidean distance transformation, shortest path planning, softmorphology, recursive morphology, regulated morphology, and sweepmorphology. Additional topics include enhancement and segmentationtechniques, active learning, feature extraction, neural networks,and fuzzy logic.
Featuring supplemental materials for instructors and students,Image Processing and Pattern Recognition is designed forundergraduate seniors and graduate students, engineering andscientific researchers, and professionals who work in signalprocessing, image processing, pattern recognition, informationsecurity, document processing, multimedia systems, and solarphysics.