| Autor: |
Shaokun Li, Keru Wang, Yu-Xia Zhao, Rui-Zhi Xie, Zhong-Ying Bai, Shi-Ju Gao |
| Rok vydání: |
2009 |
| Předmět: |
|
| Zdroj: |
Crop Modeling and Decision Support ISBN: 9783642011313 |
| DOI: |
10.1007/978-3-642-01132-0_35 |
| Popis: |
The methods of recognition and diagnosis of main maize leaf diseases using machine vision were studied in the paper. Threshold method was adopted to do image segmentation, and area-marking method was used calculating the num of disease as well as wiping off redundancy dots. And then Freeman link code was used to calculate form feature. Finally diseases were deduced according to bin-tree search method. In the research, the exclusive feature of main maize leaf diseases was presented, and the flow of disease diagnosis was confirmed and the recognition models were developed. The results indicate that the precision of five kinds of maize disease recognition is higher than 80%. It shows that this method is available for recognizing maize disease, and provides technique support for the automatic recognition of disease by compiling the system with reasonable process flow. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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