Image processing, analysis and machine vision

Milan Sonika

828 pages, parution le 10/09/1999

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Résumé

Course is taught in both EE and CS Departments. This book is comprehensive enough to use in two courses: Image Processing (usually EE) and Machine Vision (EE or CS). This comprehensive text provides deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision.Sonka's encyclopedic coverage of topics is wider than that found in any competing book on the market. In addition, while advanced mathematics is not needed to understand basic concepts, rigorous mathematical coverage is included for more advanced readers. The book is especially strong and up-to-date in its treatment of 3D vision, with many topics not covered at all in competing books. The book is also distinguished by the way the authors use easy-to-understand algorithm descriptions to explain difficult concepts, and a wealth of carefully selected problems and examples that can be worked with any general-purpose image processing software package or programming environment.

Vision allows humans to perceive and understand the world surrounding them; computer vision aims to duplicate human vision by electronically perceiving and understanding an image. Image Processing, Analysis and Machine Vision is a comprehensive introduction to the field providing up-to-date coverage of all aspects of the subject. This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision and Intelligent Robotics, it is also influenced by their active research in these area. Many algorithms, diagrams, examples and up-to-date references make this book required reading for students and professionals involved in computer vision