Image processing, analysis, and machine vision

By:

Sonka, Milan

Contributor(s):

Language: ENG Publication details: Andover Cengage Learning 2008Edition: 3rdDescription: xxv,829 p. | Binding - Paperback |ISBN:

978-81-315-1883-0

Subject(s):

EXTC Engineering

DDC classification:

621.367 SON/HLA DDC23

Summary: This robust text provides 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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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Books	School of Engineering & Technology Reference Section	Reference	621.367 SON/HLA (Browse shelf(Opens below))	Not For Loan	E10328

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Previous	621.367 JAY/ESA Digital image processing	621.367 JOS Digital image processing: an algorithmic approach	621.367 PAK Digital image processing and pattern recognition	621.367 SON/HLA Image processing, analysis, and machine vision	621.367 SRI Digital image processing	621.3670005 GON/WOO Digital image processing using MATLAB	621.3670005 MAN/PAT Understanding digital image processing using matlab	Next

This robust text provides 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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