摘要
建立了基于机器视觉的室内农药自动精确喷雾系统 ,对信号采集、图像处理、施药决策、数据交换等主要问题作了较深入的研究 ,提出了基于相对色彩因子的树木图像分割算法 ,和传统方法相比 ,在不影响分割效果的同时大大提高了图像分割的实时性。测试表明该系统运行良好 ,有很好的户外应用前景。
An indoor-simulation smart pesticide spraying system based on machine-vision was developed. A series of experiments and studies on some crucial problems, such as signal capturing, image segmentation, decision making, data transmitting, and so on, were carried out to predict the feasibility and reliability of the system. In this paper, a segmentation algorithm based on relative color indices was also put forward. Compared to the traditional algorithms, the new one has an equally good segmentation result and greatly shortens segmentation time. The system performed perfectly in the laboratory and is promising to be extended for outdoor application.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2005年第3期86-89,共4页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金资助项目 (项目编号 :3 0 0 70 62 5和 3 0 2 710 78)
