| Autor: |
Rui Hong Li, Yue Ping Han |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
Advanced Materials Research. 898:602-605 |
| ISSN: |
1662-8985 |
| DOI: |
10.4028/www.scientific.net/amr.898.602 |
| Popis: |
Spatial sampling criteria and fast recognition theory based on single view imaging system are proposed for automatic testing the assembly structures inside products in industry applications. There must be a maximum rotary step for an object within which the least structural size to be tested is ascertained. Rotating the object by the step and imaging it and so on until a 360°turn is completed, an image sequence is obtained that includes the full structural information for recognition. It is verified that objects could be recognized at a single or some limited orientations by analyzing the correlations among the image sequence. The theory is applied to the online automated X-ray vision system. Experiments show that the average identification takes less than 5s with 4.5% of wrong recognition expense. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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