黄花菜机器人的图像识别研究  

Research on Image Recognition of Daylily Robot

作　　者：郭丽新 Guo Lixin(School of Electronics and Information Engineering,North Minzu University,Yinchuan Ningxia 750021,China)

机构地区：[1]北方民族大学电气信息工程学院,宁夏银川750021

出　　处：《信息与电脑》2020年第9期137-139,共3页Information & Computer

基　　金：北方民族大学创新项目(项目编号:YCX19095)。

摘　　要：对于农业机器人来说,目标果实采摘的效率、速度以及果实的质量其实都与黄花菜机器人视觉系统中的图像处理的好坏有很大关系。黄花菜机器人完成采摘工作的第一步需要从图像背景中识别出果实目标,所以图像识别处理的能力是衡量黄花菜机器人成功采摘的指标之一。笔者以黄花菜成熟的果实作为采摘对象,阐述了黄花菜目标果实的识别方法,从而实现对成熟目标果实的识别,旨在促进黄花菜机器人的发展朝着智能化、无人化以及自动化的方向发展。For agricultural robots,the efficiency,speed and quality of fruit picking are all related to the image processing in the vision system.In the first step of harvesting,the fruit target needs to be recognized from the image background,so the ability of image recognition processing is one of the indicators to measure the success of harvesting.Taking the mature fruits of broccoli as the picking objects,the author expounds the recognition methods of the target fruits of broccoli,so as to realize the recognition of the mature target fruits,aiming to promote the development of the robot of broccoli towards the direction of intelligence,unmanned and automation.

关 键 词：黄花菜 图像处理 特征识别 RGB模型 HSV模型 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]