食品与机械2024，Vol.40Issue(10)：122-128,7.DOI:10.13652/j.spjx.1003.5788.2024.60121
基于YOLOv8和PSP-Ellipse的火龙果成熟度识别
Ripeness identification of pitaya fruit based on YOLOv8 and PSP-Ellipse
摘要
Abstract
[Objective]Improve the accuracy and robustness of maturity detection of pitaya fruit.[Methods]Combining the YOLOv8 object detection model with the PSP-Ellipse segmentation algorithm,an efficient and accurate automatic identification method for pitaya fruit maturity was proposed.First,the real-time target detection function of YOLOv8 was used to locate and identify the pitaya fruit initially.Then the shape recognition capability of PSP-Ellipse was used to further fine classify the shape and maturity of the pitaya fruit.[Results]The accuracy rate of maturity classification of pitaya fruit was 97.6%,and the robustness was strong.[Conclusion]This method can significantly improve the automatic classification efficiency of pitaya fruit under complex backgrounds and various lighting conditions.关键词
火龙果/成熟度识别/YOLOv8/PSP-Ellipse/目标检测/形状识别Key words
pitaya fruit/maturity identification/YOLOv8/PSP-Ellipse/target detection/shape recognition引用本文复制引用
刘昕璞,赵春雷,李志锋,冯超..基于YOLOv8和PSP-Ellipse的火龙果成熟度识别[J].食品与机械,2024,40(10):122-128,7.基金项目
河北省自然科学基金项目(编号:23HB48608603) （编号:23HB48608603）
河北省教育厅教学科研资助项目(编号:224785043012) （编号:224785043012）
