基于机器视觉技术的罗非鱼去鳞率无损快速在线检测系统
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李朋朋,男,大连工业大学在读硕士研究生.

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国家重点研发计划项目(编号:2018YFD0700905);辽宁省自然科学基金(编号:2020-MS-273);辽宁省教育厅项目(编号:LJKZ0511)


Design of on-line nondestructive rapid detection system for tilapia descaling rate based on machine vision
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    目的:提高罗非鱼加工质量和效率、提升产品附加值.方法:利用鱼鳞、鱼皮在紫外激发下的荧光响应差异构建基于机器视觉技术的罗非鱼去鳞率快速检测系统. 罗非鱼鱼体图像经预处理、背景分割、ROI区域选取、未去鳞区域快速识别等算法处理后得到未去鳞和去鳞区图像,计算去鳞率并测试系统检测精度.结果:系统的去鳞率检测精度范围为90.18%~94.14%.结论:该系统可实现被测罗非鱼样品的自动输送、检测图像自动触发与采集和图像的快速处理并提高罗非鱼去鳞率检测效率,满足生产线检测要求.

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    Objective:Improve the quality and efficiency of tilapia processing and increase the added value of products.Methods:For the fluorescence response difference of fish scales and fish skin under ultraviolet excitation, a rapid detection system for tilapia descaling rate based on machine vision technology was constructed. After image pre-processing, background segmentation, ROI region selection, and rapid identification of discaled areas, the scaled and descaled area images were obtained. Then the scaling rate was calculated and the detection accuracy of the system was tested. Results:The accuracy of the system scaling rate detection ranged from 90.18% to 94.14%.Conclusion:The automatic transmission of the tilapia sample, the automatic triggering and acquisition of the detection image, the rapid image processing can be realized by the system, which can effectively improve the detection efficiency of tilapia descaling rate and meet the requirements of the production line.

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李朋朋,李雨乐,曾凡一,等.基于机器视觉技术的罗非鱼去鳞率无损快速在线检测系统[J].食品与机械,2022,(10):93-98.
Li Pengpeng, Li Yule, Zeng Fanyi, et al. Design of on-line nondestructive rapid detection system for tilapia descaling rate based on machine vision[J]. Food & Machinery,2022,(10):93-98.

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  • 在线发布日期: 2022-11-23
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