| 基于改进型YOLO的密集环境下槟榔果实的快速识别方法 |
| |
| 引用本文： | 代 云,卢 明,何 婷,彭程武.基于改进型YOLO的密集环境下槟榔果实的快速识别方法[J].食品与机械,2023,39(4):83-88. |
| |
| 作者姓名： | 代 云 卢 明 何 婷 彭程武 |
| |
| 作者单位： | 湖南科技大学信息与电气工程学院，湖南 湘潭 411201;湖南中医药大学，湖南 长沙 414100;湖南科技大学土木工程学院，湖南 湘潭 411201 |
| |
| 基金项目： | 国家自然科学基金资助项目（编号：62203164，62203165） |
| |
| 摘 要： | 目的:提高小个体槟榔的识别精确率以及槟榔加工厂的自动化程度。方法:设计并选取Mob-darknet-52作为新型特征提取网络，采用多尺度检测尺寸，提出一种基于改进型YOLO算法的槟榔定位与识别的方法。结果:Mob-YOLOV3-SPP对槟榔果实分类的检测精度为94.8%,准确率为94.5%,召回率为95.1%,模型的检测时间为6.679 ms。结论:基于改进型YOLOV3网络的优化算法可以实现密集环境下槟榔果实的快速定位与识别。
|
| 关 键 词： | 深度学习 YOLO 机器视觉 Mob-darknet-52 槟榔 |
| 收稿时间： | 2022/9/19 0:00:00 |
Fast recognition method for betel nut in dense environments based on improved YOLO |
| |
| DAI Yun,LU Ming,HE Ting,PENG Cheng-wu.Fast recognition method for betel nut in dense environments based on improved YOLO[J].Food and Machinery,2023,39(4):83-88. |
| |
| Authors: | DAI Yun LU Ming HE Ting PENG Cheng-wu |
| |
| Affiliation: | School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China;Hunan University of Chinese Medicine, Changsha, Hunan 414100, China; School of Civil Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China |
| |
| Abstract: | Objective: This paper aimed to improve the accuracy of identification of small individual betel nuts and the degree of automation of betel nut processing plant by combining with deep learning. Methods: In this study, a novel feature extraction network named Mob-darknet-52 was proposed to construct a method of betel nut location and recognition based on improved YOLO algorithm by using multi-scale detection size. Results: the test showed that the proposed method had a detection accuracy of 94.8%, an accuracy rate of 94.5%, a recall rate of 95.1%, and a detection time of 6.679 ms in betel nut classification. Conclusion: The optimized algorithm based on improved YOLOV3 network can realize the rapid location and identification of betel nut in dense environment. |
| |
| Keywords: | deep learning YOLO machine vision Mob-darknet-52 betel nut |
|
| 点击此处可从《食品与机械》浏览原始摘要信息 |
|
点击此处可从《食品与机械》下载全文 |
|
