计算机视觉技术在食品工业中的应用研究进展
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摘要
概述计算机视觉技术的原理及优势,综述了计算机视觉技术在水果分级、禽蛋检测、微生物含量测定等食品工业中的应用研究进展,提出了目前存在的主要问题,展望了今后研究与应用的发展方向。
This article summarized the principle and advantage of computer vision technology. The application research progress of computer vision technology in fruit grading,detecting eggs and microbiological assay on food industry has been discussed. This article puts forward the main problems at present,and looked forward the development direction of the future research and application.
This article summarized the principle and advantage of computer vision technology. The application research progress of computer vision technology in fruit grading,detecting eggs and microbiological assay on food industry has been discussed. This article puts forward the main problems at present,and looked forward the development direction of the future research and application.
引文
[1]宁纪锋,龙满生,何东健.农业领域中的计算机视觉研究[J].计算机与农业,2001(1):1-3.
[2]李峥.基于计算机视觉的蔬菜颜色检测系统研究[D].吉林:吉林大学,2004.
[3]曾爱群.基于计算机视觉与神经网络的芒果等级分类研究[D].桂林:桂林工学院,2008.
[4]韩伟,曾庆山.基于计算机视觉的水果直径检测方法的研究[J].中国农机化,2011(5):25-29.
[5]李庆中.苹果自动分级中计算机视觉信息快速获取与处理技术的研究[D].北京:中国农业大学,2000.
[6]孙洪胜,李宇鹏,王成,等.基于计算机视觉的苹果在线高效检测与分级系统[J].仪表技术与传感器,2011(6):62-65.
[7]刘禾,汀慰华.水果果形判别人工神经网络专家系统的研究[J].农业工程学报,1996,12)(1):171-176.
[8]应义斌,景寒松,马俊福.用计算机视觉进行黄花梨果梗识别的新方法[J].农业工程学报,1998,14(2):221-225.
[9]杨秀坤,陈晓光,马成林,等.用遗传神经网络方法进行苹果颜色自动检测的研究[J].农业工程学报,1997,13(2):193-176.
[10]陈育彦,屠康,柴丽月,等.基于激光图像分析的苹果表面损伤和内部腐烂检测[J].农业机械学报,2009,40(7):133-137.
[11]冯斌,汪憋华.基于计算机视觉的水果大小检测方法[J].农业机械学报,2003,34(1):73-75.
[12]朱伟,曹其新.基于模糊彩色聚类方法的西红柿缺陷分割[J].农业工程学报,2003,19(3):133-136.
[13]曹乐平,温芝元,沈陆明.基于色调分形维数的柑橘糖度和有效酸度检测[J].农业机械学报,2009,41(3):143-148.
[14]刘刚,王立香,柳兆君.基于计算机视觉的苹果质量检测[J].安徽农业科学,2012,40(8):5014-5016.
[15]Blasco J,Aleixos N,Molto E.Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm[J].Journal of Food Engineering,2007,81(3):535-543.
[16]赵广华,李鹏飞,陆奎荣,等.智能化苹果品质实时分选系统[J].中国科技信息.
[17]王江枫,罗锡文,洪添胜,等.计算机视觉技术在芒果重量及果面坏损检测中的应用[J].农业工程学报,1998(12):186-189.
[18]欧阳静怡,刘木华.基于计算机视觉的鸡蛋裂纹检测方法研究[J].农机化研究,2012(3):91-93.
[19]汪俊德,郑丽敏,徐桂云,等.基于计算机视觉技术的双黄鸡蛋检测系统研究[J].农机化研究,2012(9):195-199.
[20]郑丽敏,杨旭,徐桂云,等.基于计算机视觉的鸡蛋新鲜度无损检测[J].农业工程学报,2009,25(3):335-339.
[21]潘磊庆,屠康,詹歌,等.基于计算机视觉和声学响应信息融合的鸡蛋裂纹检测[J].农业工程学报,2010,26(11):332-337.
[22]Mertens K,De Ketelaere B,Kamers B,et al.Dirt detection on brown eggs by means of colorcomputer vision[J].Poultry Science,2005,84(10):1653-1659.
[23]殷涌光,丁筠.基于计算机视觉的食品中大肠杆菌快速定量检测[J].吉林大学学报(工学版),2009,39(2):344-348.
[24]Lawless C,Wilkinson D J,Young A,et al.Colonyzer:automated quantification of micro-organism growth characteristics on solid agar[J].BMC Bioinformatics,2010(8):38-44.
[25]郭培源,毕松,袁芳.猪肉新鲜度智能检测分级系统研究[J].食品科学,2010,31(15):68-72.
[26]Bayraktar B,Banada P P,Hirleman E D,et al.Feature extraction from light-scatter patterns of listeria colonies for identification and classification[J].Journal of Biomedical Optics,2006,11(3):34-36.
[27]殷涌光,丁筠.基于计算机视觉的蔬菜中活菌总数的快速检测[J].农业工程学报,2009,25(7):249-254.
[28]鲁静.乳品微生物自动检测系统的设计[J].湖北第二师范学院学报,2010,27(8):115-117.
[29]刘侃.鲜奶含菌量快速检测系统[D].华中科技大学,2008.
[30]里红杰,陶学恒,于晓强.计算机视觉技术在海产品质量评估中的应用[J].食品与机械,2012,28(4):154-156.
[31]魏俊杰.计算机视觉技术在玉米生产管理中的应用[J].研究与开发,2012(3):33-34.
[32]晁德起,章程辉,黄勇平.计算机视觉在毛叶枣可食率估测中的应用研究[J].农机化研究,2011(9):158-161.
[33]Gokmen V,Mogol B A.Computer vision-based image analysis for rapid detection of acrylamide in heated foods[J].Quality Assurance and Safety of Crops&Foods,2010,2(4):203-207.
[34]Gokmen V,Senyuva H Z,Dulek B,et al.Computer vision based analysis of potato chips-A tool for rapid detection of acrylamide level[J].Molecular Nutrition&Food Research,2006,50(9):805-810.
[35]韩仲志,赵友刚.基于计算机视觉的花生品质分级检测研究[J].中国农业科学,2010,43(18):3882-3891.
[36]ICEMI.Proceedings of the sixth international conference on electronic measurement&instruments[C].Taiyuan Peoples R China,2003:18-21.
[37]Rehkugler G E,Throop J A.Apple sorting with machine vision[J].Transactions of the ASAE,1986,29(5):1388-1397.
[38]Davene1 A,Guizard C H.Automatic detection of surface defects on fruit by using a vlsion system[J].Agricultural Engineering Research,1988(41):1-9.
[39]Singh N,Delwiche M J.Machine vision methods for defect sorting stonefrui[J].Transactions of the ASAE,1994,37(6):1989-1997.
[40]Ozer N,Engel B A,Simon J E.Fusion classification techniques for fruit quality[J].Transaetions of the ASAE,1995,38(6):1927-1934.
[41]Zwiggelaa Y.Qingsheng use of spectral information and machine vision for bruise detection on peaches and aprieots[J].Agricultural Engineering Research,1996(63):323-332.
[42]Majnmdar S,Jayas D.Classification of ocereal grain susing machine vision[J].Transactions of the ASAE,2000(43):1681-1687.
[43]Plebe A,Grasso G.Loealization of spherieal fruits for roboie harvesting[J].Machine Vision and Applieations,2001,13(2):70-79.
[2]李峥.基于计算机视觉的蔬菜颜色检测系统研究[D].吉林:吉林大学,2004.
[3]曾爱群.基于计算机视觉与神经网络的芒果等级分类研究[D].桂林:桂林工学院,2008.
[4]韩伟,曾庆山.基于计算机视觉的水果直径检测方法的研究[J].中国农机化,2011(5):25-29.
[5]李庆中.苹果自动分级中计算机视觉信息快速获取与处理技术的研究[D].北京:中国农业大学,2000.
[6]孙洪胜,李宇鹏,王成,等.基于计算机视觉的苹果在线高效检测与分级系统[J].仪表技术与传感器,2011(6):62-65.
[7]刘禾,汀慰华.水果果形判别人工神经网络专家系统的研究[J].农业工程学报,1996,12)(1):171-176.
[8]应义斌,景寒松,马俊福.用计算机视觉进行黄花梨果梗识别的新方法[J].农业工程学报,1998,14(2):221-225.
[9]杨秀坤,陈晓光,马成林,等.用遗传神经网络方法进行苹果颜色自动检测的研究[J].农业工程学报,1997,13(2):193-176.
[10]陈育彦,屠康,柴丽月,等.基于激光图像分析的苹果表面损伤和内部腐烂检测[J].农业机械学报,2009,40(7):133-137.
[11]冯斌,汪憋华.基于计算机视觉的水果大小检测方法[J].农业机械学报,2003,34(1):73-75.
[12]朱伟,曹其新.基于模糊彩色聚类方法的西红柿缺陷分割[J].农业工程学报,2003,19(3):133-136.
[13]曹乐平,温芝元,沈陆明.基于色调分形维数的柑橘糖度和有效酸度检测[J].农业机械学报,2009,41(3):143-148.
[14]刘刚,王立香,柳兆君.基于计算机视觉的苹果质量检测[J].安徽农业科学,2012,40(8):5014-5016.
[15]Blasco J,Aleixos N,Molto E.Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm[J].Journal of Food Engineering,2007,81(3):535-543.
[16]赵广华,李鹏飞,陆奎荣,等.智能化苹果品质实时分选系统[J].中国科技信息.
[17]王江枫,罗锡文,洪添胜,等.计算机视觉技术在芒果重量及果面坏损检测中的应用[J].农业工程学报,1998(12):186-189.
[18]欧阳静怡,刘木华.基于计算机视觉的鸡蛋裂纹检测方法研究[J].农机化研究,2012(3):91-93.
[19]汪俊德,郑丽敏,徐桂云,等.基于计算机视觉技术的双黄鸡蛋检测系统研究[J].农机化研究,2012(9):195-199.
[20]郑丽敏,杨旭,徐桂云,等.基于计算机视觉的鸡蛋新鲜度无损检测[J].农业工程学报,2009,25(3):335-339.
[21]潘磊庆,屠康,詹歌,等.基于计算机视觉和声学响应信息融合的鸡蛋裂纹检测[J].农业工程学报,2010,26(11):332-337.
[22]Mertens K,De Ketelaere B,Kamers B,et al.Dirt detection on brown eggs by means of colorcomputer vision[J].Poultry Science,2005,84(10):1653-1659.
[23]殷涌光,丁筠.基于计算机视觉的食品中大肠杆菌快速定量检测[J].吉林大学学报(工学版),2009,39(2):344-348.
[24]Lawless C,Wilkinson D J,Young A,et al.Colonyzer:automated quantification of micro-organism growth characteristics on solid agar[J].BMC Bioinformatics,2010(8):38-44.
[25]郭培源,毕松,袁芳.猪肉新鲜度智能检测分级系统研究[J].食品科学,2010,31(15):68-72.
[26]Bayraktar B,Banada P P,Hirleman E D,et al.Feature extraction from light-scatter patterns of listeria colonies for identification and classification[J].Journal of Biomedical Optics,2006,11(3):34-36.
[27]殷涌光,丁筠.基于计算机视觉的蔬菜中活菌总数的快速检测[J].农业工程学报,2009,25(7):249-254.
[28]鲁静.乳品微生物自动检测系统的设计[J].湖北第二师范学院学报,2010,27(8):115-117.
[29]刘侃.鲜奶含菌量快速检测系统[D].华中科技大学,2008.
[30]里红杰,陶学恒,于晓强.计算机视觉技术在海产品质量评估中的应用[J].食品与机械,2012,28(4):154-156.
[31]魏俊杰.计算机视觉技术在玉米生产管理中的应用[J].研究与开发,2012(3):33-34.
[32]晁德起,章程辉,黄勇平.计算机视觉在毛叶枣可食率估测中的应用研究[J].农机化研究,2011(9):158-161.
[33]Gokmen V,Mogol B A.Computer vision-based image analysis for rapid detection of acrylamide in heated foods[J].Quality Assurance and Safety of Crops&Foods,2010,2(4):203-207.
[34]Gokmen V,Senyuva H Z,Dulek B,et al.Computer vision based analysis of potato chips-A tool for rapid detection of acrylamide level[J].Molecular Nutrition&Food Research,2006,50(9):805-810.
[35]韩仲志,赵友刚.基于计算机视觉的花生品质分级检测研究[J].中国农业科学,2010,43(18):3882-3891.
[36]ICEMI.Proceedings of the sixth international conference on electronic measurement&instruments[C].Taiyuan Peoples R China,2003:18-21.
[37]Rehkugler G E,Throop J A.Apple sorting with machine vision[J].Transactions of the ASAE,1986,29(5):1388-1397.
[38]Davene1 A,Guizard C H.Automatic detection of surface defects on fruit by using a vlsion system[J].Agricultural Engineering Research,1988(41):1-9.
[39]Singh N,Delwiche M J.Machine vision methods for defect sorting stonefrui[J].Transactions of the ASAE,1994,37(6):1989-1997.
[40]Ozer N,Engel B A,Simon J E.Fusion classification techniques for fruit quality[J].Transaetions of the ASAE,1995,38(6):1927-1934.
[41]Zwiggelaa Y.Qingsheng use of spectral information and machine vision for bruise detection on peaches and aprieots[J].Agricultural Engineering Research,1996(63):323-332.
[42]Majnmdar S,Jayas D.Classification of ocereal grain susing machine vision[J].Transactions of the ASAE,2000(43):1681-1687.
[43]Plebe A,Grasso G.Loealization of spherieal fruits for roboie harvesting[J].Machine Vision and Applieations,2001,13(2):70-79.