Design on intelligent analysis system of plant-leaf | 植物叶片智能分析系统的设计
2012
MA Xiaodan, Heilongjiang Bayi Agricultural University College of Information Technology,Daqing (China) | Guan Haiou, Heilongjiang Bayi Agricultural University College of Information Technology,Daqing (China) | Qi Guangyun, Heilongjiang Bayi Agricultural University College of Information Technology,Daqing (China)
中国人. 为避免农作物病害智能诊断过程中人为主观因素的影响,客观准确的表达叶片信息,利用数字图像处理技术和农业植保专家知识相结合,设计了适合于大田作物的植物叶片图像处理与分析系统。该系统主要包括植物叶片几何失真校正模块,几何特征计算模块、颜色识别模块以及病害区域识别模块;以校正后非线性失真现象的叶片图像为基础,实现了叶片几何特征值和颜色值的计算,并提取其病斑区域图像。试验结果表明,该方法满足病害智能诊断要求,具有良好的适应性和实用性。
显示更多 [+] 显示较少 [-]英语. In order to avoid subjective factors in the process of crop diseases intelligent diagnostic,and express the leaf information objectively and accurately,plant leaf image processing and analysis system for field crops was designed based on digital image processing and plant protection expert.The system consisted mainly of plant leaves geometric distortion correction module,geometric characteristics calculation module,the color recognition module and disease region identification module.Based on the Leaf images for nonlinear distortion correction,the geometric index and color index were calculated and the diseased spots were extracted.The experiment showed that the method satisfied the disease intelligent diagnosis with good adaptability and practicality.
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