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.
Liu, Z., Ukida, H., Ramuhalli, P., & Niel, K. (2015). Integrated imaging and vision techniques for industrial inspection: Advances and applications. Integrated Imaging and Vision Techniques for Industrial Inspection: Advances and Applications (pp. 1–536). Springer-Verlag London Ltd. https://doi.org/10.1007/978-1-4471-6741-9