Knowledge Commons of Institute of Automation,CAS
An image processing method for green apple lesion detection in natural environment based on GA-BPNN and SVM | |
Tian YN(田雨农) | |
发表期刊 | 2018 IEEE International Conference on Mechatronics and Automation |
2018-08 | |
期号 | 2018页码:1210-1215 |
摘要 | The technologies of information processing, especially the image processing, are important technical means to realize intelligent management and control of modern orchard. In order to realize the intelligentization of orchard production, the orchard image database, especially the lesion image database needs to be set up. Because of the uneven illumination and the complex background under the natural light condition, traditional image segmentation methods cannot solve the adaptive threshold issue during the lesion image processing of green apples. This paper proposes an image processing method based on a BP neural network updated by genetic algorithm (GA-BPNN) and support vector machine (SVM) to realize lesion image processing of green apples in orchard. With this method, apple images can be processed in batch and the lesion image database can be consummated automatically. Furthermore, the recognition of the diseased apple is realized. The experimental results show that the proposed method can obtain green apple segmentation and lesion detection with good efficiency and robustness in complex natural orchard environment. |
关键词 | GA-BPNN ROI SVM |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/46589 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
推荐引用方式 GB/T 7714 | Tian YN. An image processing method for green apple lesion detection in natural environment based on GA-BPNN and SVM[J]. 2018 IEEE International Conference on Mechatronics and Automation,2018(2018):1210-1215. |
APA | Tian YN.(2018).An image processing method for green apple lesion detection in natural environment based on GA-BPNN and SVM.2018 IEEE International Conference on Mechatronics and Automation(2018),1210-1215. |
MLA | Tian YN."An image processing method for green apple lesion detection in natural environment based on GA-BPNN and SVM".2018 IEEE International Conference on Mechatronics and Automation .2018(2018):1210-1215. |
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