
Software Engineering for Image Processing Systems
Philip A. Laplante(Author)
CRC Press
1st Edition
Will be published approx. on 28. July 2003
Book
Hardback
240 pages
978-0-8493-1376-9 (ISBN)
Description
Software Engineering for Image Processing Systems creates a modern engineering framework for the specification, design, coding, testing, and maintenance of image processing software and systems. The text is designed to benefit not only software engineers, but also workers with backgrounds in mathematics, the physical sciences, and other engineering disciplines, who find themselves working on a software project team. The author classifies imaging software as its own distinct caste, thereby providing a common language and framework for imaging engineers of all backgrounds. This common framework could, in turn, lead to more robust, reliable and economical software throughout the imaging industry.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Illustrations
78 s/w Abbildungen
78 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
472 gr
ISBN-13
978-0-8493-1376-9 (9780849313769)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Philip A. Laplante
Software Engineering for Image Processing Systems
E-Book
07/2003
1st Edition
CRC Press
€73.99
Available for download

Philip A. Laplante
Software Engineering for Image Processing Systems
E-Book
07/2003
CRC Press
€73.99
Available for download
Person
Philip A. Laplante
Content
Software Engineering for Image Processing Systems creates a modern engineering framework for the specification, design, coding, testing, and maintenance of image processing software and systems. The text is designed to benefit not only software engineers, but also workers with backgrounds in mathematics, the physical sciences, and other engineering disciplines, who find themselves working on a software project team. The author classifies imaging software as its own distinct caste, thereby providing a common language and framework for imaging engineers of all backgrounds. This common framework could, in turn, lead to more robust, reliable and economical software throughout the imaging industry.