基于Otsu方法燕麦清选过程中籽粒识别  

Grain Recognition in Oats Cleaning Process Based on Otsu Method

作　　者：燕红文[1] 崔清亮 Yan Hongwen;Cui Qingliang(School of Information Science and Engineering,Shanxi Agricultural University,Taigu 030801,Shanxi,China)

机构地区：[1]山西农业大学信息科学与工程学院,山西太谷030801

出　　处：《农业技术与装备》2020年第3期26-27,共2页Agricultural Technology & Equipment

基　　金：国家重点研发计划资助项目(2016YFD0701801)。

摘　　要：清选是农场作业中重要环节,文章采用计算机视觉技术对清选过程中的燕麦进行识别,使用山西农业大学研发的燕麦清选机为试验台,选取产自山西省右玉县的燕麦作为样品,使用Otsu方法分割燕麦籽粒,经研究分割阈值为89,可分性测度为0.7578,取得较好分割效果,可为智能农场作业提供技术参考。Clearing is an important part of farm operations.In order to meet the needs of modern agriculture's precision and intelligence,this paper uses computer vision technology to identify oats in the process of cleaning.The oatmeal cleaning machine developed by Shanxi Agricultural University is used as a test bench.Oats from Youyu County,Shanxi Province were selected as samples.The Otsu method was used to divide the oat kernels.The segmentation threshold was 89,and the separability measure was 0.7578.The segmentation effect was obtained,which provided the application of computer vision technology in farm operations.

关 键 词：燕麦 清选 OTSU 籽粒识别 

分 类 号：S226.1[农业科学—农业机械化工程]