Integrated imaging and vision techniques for industrial inspection: a special issue on machine vision and applications
Integrated imaging and vision techniques for industrial inspection: a special issue on machine vision and applications
复制标题
DOI：
10.1007/s00138-010-0277-9
复制
发表时间：
2010-08
影响因子：
3.3
通讯作者：
Zheng Liu;H. Ukida;P. Ramuhalli;D. Forsyth
中科院分区：
文献类型：
--
作者：
Zheng Liu;H. Ukida;P. Ramuhalli;D. Forsyth
基于图像和视觉的技术在工业检测中发挥着重要作用。该技术的复杂性通过精确定位、在线监控和实时分类确保了制造过程的高质量性能。结合多种成像和/或视觉模态的先进系统为工业应用中的复杂情况和问题提供了强大的解决方案。涵盖航空航天、汽车、电子、制药、生物医药、半导体、食品饮料等多个行业，受益于多模态成像、数据融合和计算机视觉技术的最新进展。在这种情况下，许多开放的问题是在图像分析方法的一般领域（最好是在自动化的方式）。这期特刊的目的是突出最新进展，并展示集成成像和视觉技术在工业检测中的成功应用。
Imaging-and vision-based techniques play an important role in industrial inspection. The sophistication of the techniques assures high-quality performance of the manufacturing process through precise positioning, online monitoring, and realtime classification. Advanced systems incorporating multiple imaging and/or vision modalities 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, etc., have benefited from recent advances in multi-modal imaging, data fusion, and computer vision technologies. Many of the open problems in this context are in the general area of image analysis methodologies (preferably in an automated fashion). The purpose of this special issue is to highlight recent advances and demonstrate the successful applications of integrated imaging and vision technologies in industrial inspection.