Name
Title | ||
|---|---|---|
Integrated imaging and vision techniques for industrial inspection: a special issue on machine vision and applications |
Abstract | ||
|---|---|---|
Imaging- and vision-based techniques play an important role in industrial inspection. The sophistication of the techniques assures high-quality performance of the manufacturing processthroughprecisepositioning,onlinemonitoring,andrealtimeclassification.Advancedsystemsincorporatingmultiple 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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s00138-010-0277-9 | Mach. Vis. Appl. |
Keywords | Field | DocType |
industrial inspection,vision technique,special issue,machine vision,integrated imaging,image analysis,computer vision,data fusion | Aerospace,Modalities,Computer vision,Machine vision,Computer science,Sensor fusion,Electronics,Artificial intelligence,Sophistication,Industrial inspection,Automotive industry | Journal |
Volume | Issue | ISSN |
21 | 5 | 1432-1769 |
Citations | PageRank | References |
1 | 0.37 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zheng Liu | 1 | 339 | 39.14 |
| Hiroyuki Ukida | 2 | 29 | 7.15 |
| P. Ramuhalli | 3 | 36 | 4.57 |
| David S. Forsyth | 4 | 43 | 3.54 |