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Software Engineering for Image Processing Systems

Autor Philip A. Laplante
en Limba Engleză Hardback – 28 iul 2003
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.
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Specificații

ISBN-13: 9780849313769
ISBN-10: 0849313767
Pagini: 240
Ilustrații: 78 b/w images
Dimensiuni: 156 x 234 x 19 mm
Greutate: 0.47 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States

Public țintă

Professional

Cuprins

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.

Descriere

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.