基于机器视觉的菠萝果实识别与定位.docx

基于机器视觉的菠萝果实识别与定位
Abstract
Therecognitionandlocalizationofpineapplefruitbasedonmachinevisionisofgreatsignificancetothedevelopmentofthefruitindustry.Inthispaper,apipelineforrecognizingandlocatingpineapplefruitusingtheYOLOv4objectdetectionalgorithmisproposed.Thepipelineincludesimagepreprocessing,objectdetection,andpost-processingsteps.Throughexperimentalanalysis,itisverifiedthattheproposedpipelinehasgoodaccuracyandrobustnessinrecognizingandlocatingpineapplefruit.
Keywords:machinevision,objectdetection,pineapplefruit,YOLOv4
摘要
基于机器视觉的菠萝果实识别与定位对于果业的发展具有重要意义。本文提出了一种利用YOLOv4目标检测算法实现菠萝果实识别与定位的流程。该流程包括图像预处理、目标检测、后处理等步骤。通过实验分析验证了所提出的流程在菠萝果实识别与定位方面具有较好的准确性和鲁棒性。
关键词：机器视觉、目标检测、菠萝果实、YOLOv4
Introduction
Pineappleisatropicalfruitthatiswidelycultivatedinmanycountries.Asthedemandforpineapplesincreases,itbecomesmoreimportanttohaveefficientandaccuratemethodsforrecognizingandlocatingthefruit.Traditionalmethodsforfruitrecognitionandlocalizationareoftentime-consumingandrequiresignificanthumaninvolvement.Therefore,machinevision-basedmethodshavebecomeincreasinglypopularforfruitrecognitionandlocalization.
Inrecentyears,deeplearning-basedobjectdetectionalgorithms,suchasYOLOv4,haveachievedstate-of-the-artperformanceinobjectdetectiontasks.YOLOv4isanefficientandaccurateobjectdetectionalgorithmthathasbeenusedinavarietyofapplications,includingfruitrecognitionandlocalization.
Inthispaper,apipelineforrecognizingandlocatingpineapplefruitbasedonmachinevisionandYOLOv4isproposed.Thispipelineincludesimagepreprocessing,objectdetection,andpost-processingsteps.Throughexperimentalanalysis,itisverifiedthattheproposedpipelinehasgoodaccuracyandrobustnessinrecognizingandlocatingpineapplefruit.
Materialsandmethods
Dataset
Totrainandtesttheproposedpipeline,adatasetofpineapplefruitimagesisrequired.Thedatasetusedinthisstudyincludes1000imagesofpineapplefruits.Theseimageswerecollectedfromdifferentsourcesandhavedifferentresolutions,lightingconditions,andbackgrounds.
Imagepreprocessing
BeforeapplyingtheYOLOv4objectdetec