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作 者:王君玲 高玉芝 肖春英[1,2] WANG Juning;GAO Yuzhi;XIAO Chunying(Tangshan University,Tangshan Hebei 063000,China;Hebei Key Laboratory of Intelligent Equipment Digital Design and Process Simulation,Tangshan Hebei 063000,China)
机构地区:[1]唐山学院,河北唐山063000 [2]河北省智能装备数字化设计及过程仿真重点实验室,河北唐山063000
出 处:《农业科技与装备》2023年第6期43-46,共4页Agricultural Science & Technology and Equipment
基 金:唐山市科技局重点研发项目“果树剪枝机器人关键技术研究”(22150203A)。
摘 要:随着我国农业现代化的快速发展,对智能化果树剪枝设备的需求也越来越迫切,而图像处理及角点识别技术是基于机器视觉的果树枝条识别系统的基础和关键。以苹果树枝条为研究对象,运用数字图像处理技术和MATLAB软件对采集的冬春两季的苹果树枝条图像进行灰度和滤波处理、噪音消除、框架提取、图像分割、骨架细化,最终得到枝条骨架,之后采用Harris算法对枝条的角点及芽点进行识别。研究结果可为进一步开发苹果树智能剪枝机器人系统奠定良好基础。With the rapid development of agricultural modernization in China,the demand for intelligent fruit tree pruning equipment is becoming more and more urgent,and image processing and corner recognition technology are the basis and key of the recognition system of fruit tree branches based on machine vision.Taking apple tree branches as the research object,digital image processing technology and MATLAB software were used to carry out gray level and filtering processing,noise elimination,frame extraction,image segmentation and skeleton thinning on the collected apple tree branches in winter and spring.Finally,the branch skeleton was obtained,and Harris algorithm was adopted to identify the corner points and bud points of the branches.The research results can lay a good foundation for the further development of apple tree intelligent pruning robot system.
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