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Editorial Reviews
Product Description
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.
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.
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