Integrated Imaging and Vision Techniques for Industrial Inspection Advances and Applications
tarafından
 
Liu, Zheng. editor.

Başlık
Integrated Imaging and Vision Techniques for Industrial Inspection Advances and Applications

Yazar
Liu, Zheng. editor.

ISBN
9781447167419

Edisyon
1st ed. 2015.

Fiziksel Niteleme
X, 541 p. 407 illus., 13 illus. in color. online resource.

Seri
Advances in Computer Vision and Pattern Recognition,

İçindekiler
Industrial Inspection with Open Eyes -- Part I: Advances in Technology -- Infrared Vision -- Inspection Methods for Metal Surfaces -- FlexWarp, a Fast and Flexible Method for High-Precision Image Registration -- How Optical CMMs and 3D Scanning will Revolutionize the 3D Metrology World -- Fast Three-Dimensional Shape Inspection Using a Multi-Sided Mirror -- Efficient Completeness Inspection Using Real-Time 3D Color Reconstruction with a Dual-Laser Triangulation System -- X-Ray Computed Tomography for Non-Destructive Testing and Materials Characterization -- Defect Inspection for Curved Surfaces with a Highly Specular Reflection -- Part II: Applications and System Integration for Vision-Based Inspection -- Robotic Inspection Systems -- Machine Vision Techniques for Condition Assessment of Civil Infrastructure -- Smart Check 3D -- Ultrasonic Evaluation and Imaging -- Non-Destructive Visualization Using Electromagnetic Waves for Real and Practical Sensing Technology for Robotics -- Magneto-Optic Imaging and its Applications.

Özet
This pioneering text/reference presents a detailed focus on the use of machine vision techniques in industrial inspection applications. An internationally renowned selection of experts provide insights on a range of inspection tasks, drawn from their cutting-edge work in academia and industry, covering practical issues of vision system integration for real-world applications.  Topics and features:  Presents a comprehensive review of state-of-the-art hardware and software tools for machine vision, and the evolution of algorithms for industrial inspection Includes in-depth descriptions of advanced inspection methodologies and machine vision technologies for specific needs Discusses the latest developments and future trends in imaging and vision techniques for industrial inspection tasks Provides a focus on imaging and vision system integration, implementation, and optimization Describes the pitfalls and barriers to developing successful inspection systems for smooth and efficient manufacturing process Bridging the gap between theoretical knowledge and engineering practice, this indispensable book will appeal to graduate students interested in imaging, machine vision, and industrial inspection. The work also serves as an excellent reference for researchers seeking to develop innovative solutions to tackle practical challenges, and for professional engineers who will benefit from the coverage of applications at both system and component level.

Konu Başlığı
Computer science.
 
Image processing.
 
Pattern recognition.
 
Image Processing and Computer Vision.

Yazar Ek Girişi
Liu, Zheng.
 
Ukida, Hiroyuki.
 
Ramuhalli, Pradeep.
 
Niel, Kurt.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
http://dx.doi.org/10.1007/978-1-4471-6741-9


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book19578-1001TA1637 -1638Springer E-Book Collection