Liu Z., Ukida H., Ramuhalli P., Niel K. (eds.) Integrated Imaging and Vision Techniques for Industrial Inspection. Advances and Applications

Springer, 2015. — 543 p.Machine vision is defined as a process of integrating a variety of technologies and computational methods to provide imaging-based information. The scope of machine vision is broad, and it has been applied to a wide range of applications including robot guidance, quality assurance, sorting, material handling, optical gauging, automated assembly, industrial inspection. This book focuses on the industrial inspection, which is to ensure the safety and reliability of the products through the measurements and tests of certain characteristics for an object or activity. Integrated imaging and machine vision techniques are the key technologies to achieve such measurements and tests. With the evolution of machine vision hardware, such as smart camera, LED illumination, time-of-flight camera, multicore processor, and graphics processing unit (GPU), it becomes possible to offer a cost-effective solution for inspection tasks with high-performance capabilities. Moreover, the expansion of wavelength gains the visibility of features not available in visible spectrum and thus greatly enhances the reliability and performance.
Advanced machine vision systems may incorporate multiple imaging and/or vision modalities to provide robust solutions to complex situations and problems in industrial applications. A diverse range of industries, including aerospace, automotive, electronics, pharmaceutical, biomedical, semiconductor, and food/beverage, and manufacturing, have benefited from recent advances in multimodal inspection technologies. This book is a collection of pioneering contributions in machine vision from academia and industries for varied inspection tasks. It highlights both the advances in technologies and vision system integration for practical applications. The advances provide an insight into recent progresses and developments of imaging and vision techniques for varied industrial inspection tasks, while the applications present the state of the art of imaging and vision system integration, implementation, and optimization.Industrial Inspection with Open Eyes: Advance with Machine Vision Technology
Part I Technology Advances
Infrared Vision: Visual Inspection Beyond the Visible Spectrum
Inspection Methods for Metal Surfaces: Image Acquisition and Algorithms for the Characterization of Defects
FlexWarp, a Fast and Flexible Method for High-Precision Image Registration: A Nonparametric Approach for Precise Image Registration Applied to Industrial Print Inspection
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 Surface with 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: An Industrial Inspection System Combining 3D Vision with Automatic Planning of Inspection Viewpoints
Ultrasonic Evaluation and Imaging
Nondestructive Visualization Using Electromagnetic Waves for Real and Practical Sensing Technology for Robotics
Principles of Magneto-optic Imaging and Its Applications