基于图像处理的成熟草莓检测技术研究  

Study of Ripe Strawberry Detection Technology Based on Image Proessing

作　　者：杜芳芳 王丹 杨强 Du Fangfang;Wang Dan;Yang Qiang(Huanghe Jiaotong University,Wuzhi 454950,China)

机构地区：[1]黄河交通学院,河南武陟454950

出　　处：《农机化研究》2024年第4期230-233,238,共5页Journal of Agricultural Mechanization Research

基　　金：河南省高等学校青年骨干教师培养计划项目(2019GGJS286);河南省2021年民办普通高等学校学科专业建设项目(豫财教[2021]16号)。

摘　　要：针对目前成熟草莓的检测效率低及易增加草莓损坏率的问题,基于图像处理对成熟草莓检测技术进行了研究。草莓视觉检测系统的硬件组成主要包括CCD摄像头、图像采集卡、计算机主机、光源、继电器和运动控制设备,采用图像处理算法和BP神经网络算法对草莓成熟度进行检测。工作时,通过摄像头拍摄图片,并对草莓图片进行预处理、分割和滤波等处理和分析;然后,采用BP神经网络算法识别出不同成熟度的草莓。为了验证该系统的性能,采用确定成熟度的草莓对系统进行训练和测试,结果表明系统可以准确识别草莓的成熟度。In view of the problem that the detection rate of ripe strawberry is low and easy to increase the damage rate of strawberry,the detection technology of ripe strawberry based on image processing was studied.The hardware of strawberry visual inspection system was main instituted of CCD camera,image acquisition ard,computer host,light source,electrical appliances and motion control equipment.The image processing algorithm and BP neural network algorithm were used to detect the ripeness of strawberry.The images were taken by camera,and the images were processed,segmented and filtered.Then the BP neural network algorithm was used to identify the strawberry with different ripeness.To verify the performance of the system,the strawberry with definite maturity was used to train and test the system.The test results show that the system could accurately identify the maturity of strawberry.

关 键 词：图像处理 成熟草莓检测 BP神经网络算法 图片处理算法 ISODATA算法 

分 类 号：S126[农业科学—农业基础科学] TP391.41[自动化与计算机技术—计算机应用技术]