基于图像处理技术的番茄成熟度检测研究  

Research on Tomato Maturity Detection Based on Image Processing Technology

作　　者：伍蓥芮 张志勇[1] 韩小平[1] 杨威 杨原青 Wu Yingrui;Zhang Zhiyong;Han Xiaoping;Yang Wei;Yang Yuanqing(College of Agricultural Engineering,Shanxi Agricultural University,Taigu 030801,Shanxi,China)

机构地区：[1]山西农业大学农业工程学院,山西太谷030801

出　　处：《农业技术与装备》2021年第4期50-51,54,共3页Agricultural Technology & Equipment

基　　金：山西省重点研发计划项目(201803D221027-4)。

摘　　要：提出了一种利用图像处理技术判别番茄成熟度的方法。将实验温室大棚采集的番茄果实图像转化为RGB颜色模型,人工划分阈值并提取果实坐标,以原图像素与人工分量阈值的方差为依据,判别番茄成熟过程的4个时期,为研制番茄成熟度判别设备提供了参考。A method for judging tomato maturity using image processing technology is proposed.The tomato fruit images collected in the experimental greenhouse were converted into RGB color models,and the thresholds were manually divided and the fruit coordinates were extracted.Based on the variance of the original image pixels and the artificial component thresholds,the four stages of the tomato ripening process were distinguished for the purpose of developing tomato maturity.The discrimination equipment provides a reference.

关 键 词：图像处理技术 番茄 成熟度 

分 类 号：S371[农业科学—农产品加工]