Name
Abstract | ||
|---|---|---|
The fields of classical image processing and optical spectroscopy developed independently since a long time. While the first subject deals with pictorial information that uses the description of material by their surfaces in terms of brightness, texture and color depending on the illumination in the two dimensional field of view of the optics, the second one classifies usually material properties due to their radiation in particular spectral bands but mostly limited to a single point of the object’s surface. Combining imaging devices and spectrographs to record point spectra for entire surfaces of objects leads to the new and emerging field of spectral imaging. Using this technology in material sorting for recycling purposes introduces additional real-time constraints for the processing. First commercial solutions in this application field leverage breakthroughs also in other application fields and lift experimental set-ups to the shop floor maturity and robustness. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s11554-006-0004-y | J. Real-Time Image Processing |
Keywords | Field | DocType |
spectral imaging æ imaging spectrograph æ dispersive optical element æ nir-spectroscopy æ real-time material sorting abbreviations ir infra-red nir near infra-red uv ultra-violet vis visual spectral range,infra red,optical spectroscopy,spectral imaging,nir spectroscopy,material properties,real time,field of view | Field of view,Computer vision,Spectral imaging,Computer science,Near-infrared spectroscopy,Image processing,Sorting,Robustness (computer science),Artificial intelligence,Spectral bands,Brightness | Journal |
Volume | Issue | ISSN |
1 | 1 | 1861-8219 |
Citations | PageRank | References |
3 | 0.73 | 4 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias F. Carlsohn | 1 | 17 | 14.30 |