草莓采摘机器人的草莓识别系统设计.doc

声明
本人郑重声明:所成交的论文是本人在XXX老师的指导下独立进行研究所取得的研究成果。除了文中特别加以标注引用的内容外,本论文不包含任何其他个人或者集体已经发表或者撰写的成果作品。对本文的研究做出重要贡献的个人和集体,均已经在文中以明确的方式标明。本人完全意识到本声明的法律后果由本人承担。
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摘要
草莓采摘机器人是一种具有感知识别能力,能够自动完成草莓果实采摘等作业任务的智能机械收获系统,其作用在于可以降低采摘劳动强度和生产费用、提高作业效率和产品质量、保证果实适时采摘,因此对其相关技术研究具有重大现实意义。
本文的研究主要内容是自然背景下对草莓的正确识别,基于机器视觉技术实现了果实的有效识别和空间的初步定位,从而为草莓的采摘提供了必要信息。对草莓的图像识别技术路线为:摄像机标定、图像采集、颜色空间转换、阈值分割、去噪和图像填充、求得草莓质心。对草莓的定位采用一台摄像机和两个光电位置传感器初步定下草莓在空间的位置。实验显示本课题的研究基本上完成了任务要求,能够将草莓提取出来,并且找到了草莓的质心坐标,为后续工作打下了基础。
关键词:草莓;颜色转换;图像分割;机器视觉
ABSTRACT
Strawberry picking robot is a kind of perception recognition capability to automate intelligent mechanical harvesting systems such as strawberry fruit picking job tasks, and its role is to reduce the labor intensity of harvesting and production costs, improve operational efficiency and product quality, and ensure timely picking fruit, therefore of great practical significance to its related technology research.
Main contents of this paper is to correctly identify and locate the natural background of strawberry, based on machine vision technology to achieve the initial positioning of fruit effectively identify and space, thus providing the necessary information for the strawberry picking. Image recognition technology roadmap for strawberries is: camera calibration, image acquisition, color space conversion, threshold segmentation, denoising and image fills, and seek strawberries centroid. Strawberry positioning using a video camera and two optical position sensors initially set position in space of strawberries. Experiments show that research of this subject is pleted the task requirements, can be extracted from strawberries and strawberry to find the coordinates of the center of mass, and lay the foundation for the follow-up work.
Key words: Strawberries; Color conversion; Image segmentation; Machine Vision Technology;
目录
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ABSTRACT II
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