| Autor: |
Li Li Yang, Fan Liang, Xing Li Wu, Shi Gang Cui, Li Guo Tian, Li Zhao |
| Rok vydání: |
2014 |
| Předmět: |
|
| Zdroj: |
Applied Mechanics and Materials. 577:664-667 |
| ISSN: |
1662-7482 |
| DOI: |
10.4028/www.scientific.net/amm.577.664 |
| Popis: |
Modern agriculture is developing towards the direction of intelligent. We can realize the nondestructive measurement of plant leaf area by using the digital camera. In this paper, we make the same ratio between the camera’s screen and the background plate to overcome the problem of geometric distortion. Then we use two perpendicular digital cameras from the front and side to collect images respectively for curved leaf. Because there are characteristics of the image grey value mutation on the rage of the vane, we can extract the leaf by image segmentation. The leaf area can be calculated by the statistic of the pixels number according to the projection principle. Experiments show that, the error of leaf area measurement reduces from 13.51% to 5.93% by binocular vision. So this method not only can get the measurement of leaf area data, but also can effectively avoid the two-dimensional image distortion and improve the accuracy of leaf area calculation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
