Software Engineering for Image Processing Systems
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A01=Philip A. Laplante
abstract
advanced imaging system development
algorithm optimization
Author_Philip A. Laplante
Category=UMZ
Category=UYT
COCOMO II
Cpu Utilization
cycle
Cycle Time
Cyclomatic Complexity
data
Delivered Source Instructions
description
design
digital image analysis
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Execution Time
Function Point
imaging
inspection
International Function Point Users Group
Key Process Areas
life
Life Cycle
Life Cycle Models
Liskov Substitution Principle
Mealy Machine
Moore Machine
object-oriented
pattern recognition techniques
Petri Nets
quantitative image evaluation
RGB Color
scientific computing applications
Software
Software Life Cycle
Software Life Cycle Models
software reliability engineering
Software System
SPIE Press
System Level Testing
visual
Visual Inspection System
Waterfall Model
White Box Testing
Product details
- ISBN 9780849313769
- Weight: 472g
- Dimensions: 156 x 234mm
- Publication Date: 28 Jul 2003
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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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.
