Name
Abstract | ||
|---|---|---|
In this paper, a novel template matching algorithm named radial ring code histograms (RRCH) for multi-objects positioning is proposed. It is invariant to translation, rotation and illumination changes. To improve the identification ability of multi objects with different rotation angles, radial gradient codes using relative angle between gradient direction and position vector is proposed. Adjustable weights in different regions make it possible to adapt various type objects. Experiments using a LED sorting equipment demonstrate that our algorithm results in correct positioning for multi objects in complicated environments with noise and illumination invariance. |
Year | Venue | Field |
|---|---|---|
2015 | ICIG | Template matching,Position (vector),Computer vision,Histogram,Invariant (physics),Pattern recognition,Computer science,Gradient direction,Sorting,Invariant (mathematics),Artificial intelligence |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shijiao Zheng | 1 | 0 | 0.34 |
| Buyang Zhang | 2 | 0 | 0.34 |
| Hua Yang | 3 | 16 | 8.81 |