林开颜,司慧萍,周强,吴军辉,陈杰.基于模糊逻辑的植物叶片边缘检测方法[J].农业机械学报,2013,44(6):227-231.
Lin Kaiyan,Si Huiping,Zhou Qiang,Wu Junhui,Chen Jie.Plant Leaf Edge Detection Based on Fuzzy Logic[J].Transactions of the Chinese Society for Agricultural Machinery,2013,44(6):227-231.
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基于模糊逻辑的植物叶片边缘检测方法   [下载全文]
Plant Leaf Edge Detection Based on Fuzzy Logic   [Download Pdf][in English]
  
DOI:10.6041/j.issn.1000-1298.2013.06.039
中文关键词:  植物叶片  边缘检测  模糊逻辑  滤波
基金项目:上海市科委社会发展领域科技攻关资助项目(11dz1210802)
作者单位
林开颜 同济大学 
司慧萍 同济大学 
周强 上海都市绿色工程有限公司 
吴军辉 同济大学 
陈杰 同济大学 
中文摘要:针对温室环境植物叶片边缘检测中,植物图像通常含有噪声、背景复杂且图像数据存在模糊性和不完整性问题,提出了基于模糊逻辑的植物叶片边缘检测方法。首先,根据邻域像素的统计特性及绿色植物和土壤背景的颜色差异性,利用线性函数定义噪声和边缘的隶属度函数;其次,采用Sugeno模糊模型进行模糊推理,以减少模糊规则数量;最后,利用模糊推理结果先进行模糊滤波后再进行模糊边缘检测。实验证明,提出的方法克服了常规算法未考虑叶片像素和背景像素的颜色差异而导致产生大量伪边缘的问题,在噪声环境中能有效提取自然背景下植物叶片边缘信息,可有效用于温室环境的植物叶片图像边缘检测。
Lin Kaiyan  Si Huiping  Zhou Qiang  Wu Junhui  Chen Jie
Tongji University;Tongji University;Shanghai Urban Green Engineering Co., Ltd.;Tongji University;Tongji University
Key Words:Plant leaf  Edge detection  Fuzzy logic  Filtering
Abstract:It is difficult to detect plant leaf edge in green house environment because of noise and incompletion. For this problem, an edge detection based on fuzzy logic was proposed. Firstly, according to the statistics characteristic of neighbor pixels and color difference between plant and soil, membership function of noise and edge was defined by using linear function. Secondly, fuzzy rules were deduced by using Sugeno fuzzy model, so as to decrease the rule amounts. Then, with the results of fuzzy reasoning, fuzzy filter and fuzzy edge detection were performed. The experiment results indicated that the proposed method could overcome the problem of large amounts of false edges which caused by color difference between leaves and backgrounds in conventional algorithms. The proposed algorithm could detect edges in noisy environment effectively and could be used for the plant leaf edge detection in greenhouse monitoring. 

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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