Wood inspection with non-supervised clustering
The appearance of sawn timber has huge natural variations that the human inspector easily compensates for mentally when determining the types of defects and the grade of each board. However, for automatic wood inspection systems these variations are a major source for complication. This makes it dif...
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| Veröffentlicht in: | Machine vision and applications 2003-03, Vol.13 (5-6), p.275-285 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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