Name
Title | ||
|---|---|---|
Detection of citrus fruit and tree trunks in natural environments using a multi-elliptical boundary model. |
Abstract | ||
|---|---|---|
•This study examined a machine vision algorithm suited to detect citrus fruit and tree trunks.•A multi-elliptical model was constructed in Cr-Cb co-ordinates to detect citrus fruit and tree trunks.•This algorithm’s computational complexity is much simpler than machine learning algorithms.•Brightness correction changed the position and area of elliptical boundary model. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compind.2018.03.007 | Computers in Industry |
Keywords | Field | DocType |
Computer vision,Natural environments,Elliptical boundary model,Citrus detection | Pattern recognition,Image detection,Control engineering,Precision agriculture,Artificial intelligence,Engineering,Ellipse | Journal |
Volume | ISSN | Citations |
99 | 0166-3615 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianhu Liu | 1 | 3 | 2.21 |
| Reza Ehsani | 2 | 19 | 6.14 |
| Arash Toudeshki | 3 | 8 | 2.33 |
| Xiangjun Zou | 4 | 29 | 8.20 |
| Hongjun Wang | 5 | 661 | 51.68 |