作者: Toby Breckon , Chris Solomon
DOI:
关键词: Digital image processing 、 Computer experiment 、 Artificial intelligence 、 Computer science 、 Contextual image classification 、 Engineering drawing 、 MATLAB 、 Key (cryptography) 、 Pattern recognition (psychology) 、 Image processing 、 Presentation
摘要: This is an introductory to intermediate level text on the science of image processing, which employs Matlab programming language illustrate some elementary, key concepts in modern processing and pattern recognition. The approach taken essentially practical book offers a framework within can be understood by series well chosen examples, exercises computer experiments, drawing specific examples from science, medicine engineering.Clearly divided into eleven distinct chapters, begins with fast-start introduction enhance accessibility later topics. Subsequent chapters offer increasingly advanced discussion topics involving more challenging concepts, final chapter looking at application automated classification (with examples) .Matlab frequently used as tool for demonstrations, conducting experiments solving problems, it both ideally suited this role widely available. Prior experience not required those without access still benefit independent presentation numerous examples.Features companion website www.wiley.com/go/solomon/fundamentals containing primer, further exercises, instructor resources all files corresponding itself.Includes graded support students instructors alike.