Software Engineering for Image Processing Systems
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
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Software Engineering for Image Processing Systems
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
69.99 In Stock
Software Engineering for Image Processing Systems

Software Engineering for Image Processing Systems

by Philip A. Laplante
Software Engineering for Image Processing Systems

Software Engineering for Image Processing Systems

by Philip A. Laplante

eBook

$69.99 

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Overview

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

Product Details

ISBN-13: 9781135510732
Publisher: CRC Press
Publication date: 07/28/2003
Sold by: Barnes & Noble
Format: eBook
Pages: 240
File size: 3 MB

About the Author

Philip A. Laplante

Table of Contents

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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