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Image processing, analysis, and machine vision

By: Sonka, Milan
Title By: Hlavac, Vaclav | Boyle, Roger, 1954-
Material type: BookPublisher: Stamford, CT, USA : Cengage Learning, c2015.Edition: 4th ed.Description: xxxv, 870 p. : ill. ; 25 cm.ISBN: 9781133593607; 1133593607Program: ECTE401Subject(s): Image processing | Computer vision | Image analysisDDC classification: 621.36/7 Online resources: Location Map
Summary:
The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.
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Item type Home library Call number Status Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection
621.367 SO IM (Browse shelf) Available T0054949
REGULAR University of Wollongong in Dubai
Main Collection
621.367 SO IM (Browse shelf) Available T0054950
Total holds: 0

Includes bibliographical references and index.

The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.

ECTE401

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