Synopses & Reviews
Since the first edition of "Digital Image Processing" was published in 1991 it has found its way to many desks and classrooms. The book offers an integral view of image processing from image acquisition to the extraction of the data of interest. The discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms.
The sixth edition has been revised and extended. The whole textbook is now clearly partitioned into basic and advanced material in order to cope with the ever-increasing field of digital image processing. In this way, you can first work your way through the basic principles of digital image processing without getting overwhelmed by the wealth of the material and then extend your studies to selected topics of interest. Each chapter now includes exercises that help you to test your understanding, train your skills, and introduce you to real-world image processing tasks. An important part of the exercises is a wealth of interactive computer exercises, which cover all topics of this textbook.
Synopsis
This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest - written by a physical scientists for other scientists.
Supplements discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms.
Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation.
Synopsis
The sixth edition of this worldwide used textbook was thoroughly - vised and extended. Throughout the whole text you will ?nd numerous improvements, extensions, and updates. Above all, I would like to draw your attention to two major changes. Firstly, the whole textbook is now clearly partitioned into basic and advanced material in order to cope with the ever-increasing ?eld of di- talimageprocessing. Themostimportantequationsareputintoframed boxes. The advanced sections are located in the second part of each chapter and are marked by italic headlines and by a smaller typeface. In this way, you can ?rst work your way through the basic principles of digital image processing without getting overwhelmed by the wealth of the material. You can extend your studies later to selected topics of interest. The second most notable extension are exercises that are now - cluded at the end of each chapter. These exercise help you to test your understanding, train your skills, and introduce you to real-world image processing tasks. The exercises are marked with one to three stars to indicate their di?culty. An important part of the exercises is a wealth of interactive computer exercises, which cover all topics of this te- book. These exercises are performed with the image processing so- ware heurisko(r) (http: //www. heurisko. de), which is included on the accompanying CD-ROM. In this way you can get own practical expe- ence with almost all topics and algorithms covered by this book
Table of Contents
Foundation; Image Representation; Statistics and Models; Multiscale Representation; Quantitative Visualization; Image Formation; Pixel Processing; Restoration and Reconstruction; Averages and Edges; Simple Neighborhoods; Texture; Motion; Regions and Discontinuities; Classification.