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基于猕猴桃果萼图像的多目标果实识别方法 被引量:17

Multi-target fruit recognition method based on kiwifruit calyx image
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摘要 在猕猴桃采摘机器人作业的过程中,由于对于目标果实的识别一般是针对单个果实,极大影响了猕猴桃采摘的效率。为此,提出多目标果实的识别方法,以猕猴桃果萼为识别对象对猕猴桃图像进行识别。运用该方法对多目标果实进行识别,对所采集的样本图像中的20幅图片进行实验,实验结果表明,运用该方法识别的准确率为88.86%,该识别获得的信息能达到猕猴桃多目标识别的目的,为后续机械臂的路径规划,采摘机器人末端执行器设计提供了信息支持,也可为苹果、柑橘等果实的识别提供参考。 When kiwifruit harvesting robot is working,the recognition of the target fruit is aiming at a single one generally,which affects the picking efficiency of robot greatly.For this issue,a recognition method of multi-target was proposed,which recognized kiwifruits images by referring the calyx as the subject.20 images of the sample images were tested using the proposed recognition method of multi-target,the conclusion was drawn that the accuracy of the method can reach 88.86%.The information obtained using the method achieves the goal of multi-target recognition of kiwifruits successfully and it can provide information supports for the following path planning of mechanical arms and designing of end-effector.The method also can provide references for recognition of other fruits,such as apples,oranges,etc.
作者 陈礼鹏 穆龙涛 刘浩洲 谷新运 傅隆生 崔永杰 CHEN Li-peng, MU Long-tao, LIU Hao-zhou, GU Xin-yun, FU Long-sheng, CUI Yong-jie(College of Mechanical and Electronic Engineering, Northwest Agricultural and Forestry University, Yangling 712100, Chin)
出处 《计算机工程与设计》 北大核心 2018年第6期1738-1744,共7页 Computer Engineering and Design
基金 国家自然科学基金项目(61175099) 陕西省科技统筹创新工程计划基金项目(K3320215126) 陕西省果业专项基金项目(2013159)
关键词 采摘机器人 多目标 果实识别 猕猴桃果萼 图像处理 picking robot multi-target fruit recognition kiwifruit calyx image processing
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