摘要
为提高番茄机械损伤检测效果,针对番茄机械损伤在可见光图像中特征不明显、检测较困难的问题,进行了番茄机械损伤热成像无损检测技术的研究。检测时先用Android手机通过FLIR ONE热成像摄像头对经过主动热激励的番茄拍照;然后对热成像进行图像处理,找出损伤部位;最后计算出包括损伤部分平均温度、正常部分平均温度、损伤占比在内的机械损伤缺陷参数。经验证:检测技术应用于番茄机械损伤定性与定量检测的准确性均较高,检测方法方便、成本低。
For improving detection effect and solving the problem that the mechanical damage of tomato is difficult to detect in visible light images,it proposed a nondestructive detect method by thermal imaging.First,take the thermal image of tomato after active thermal stimulation by the FLIR ONE which was plugged in the Android phone.Second,find the damage parts of tomato by thermal image processing.Last,calculate the damage data include the damage occupation percent,mean temperature of damage part and sound part.Experiments show that,this method can be applied to qualitative and quantitative detection of tomato mechanical damage,and the accuracy is high.Compared with the method of using thermal imager,this method is more convenient and the cost is lower.
引文
[1]王晓静,梁燕,徐加新,等.番茄品质性状的多元统计分析[J].西北农业学报,2010,19(9):103-108.
[2]李锡香.番茄种质资源描述规范和数据标准[M].北京:中国农业出版社,2006.
[3]裴娇艳.番茄果实采后品质特性变化及预测模型研究[D].南京:南京农业大学,2010.
[4]王树文.计算机视觉技术在农产品自动检测与分级中的研究---番茄的表面缺陷自动检测与分类[D].哈尔滨:东北农业大学,2002.
[5]王树文,张长利,房俊龙.基于计算机视觉的番茄损伤自动检测与分类研究[J].农业工程学报,2005,21(8):98-101.
[6]丁竹青,李晓良,张若宇,等.基于LabVIEW Vision的加工番茄表面霉斑缺陷检测[J].江苏农业科学,2015(5):302-306.
[7]VARITH J,HYDE G M,BARITELLE A L,et al.Non-contact bruise detection in apples by thermal imaging[J].Innovative Food Science&Emerging Technologies,2003,4(2):211-218.
[8]BARANOWSKI P,MAZUREK W,WOZNIAK J,et al.Detection of early bruises in apples using hyperspectral data and thermal imaging[J].Journal of Food Engineering,2012,110(3):345-355.
[9]JIAO L Z,WU W B,ZHENG W G,et al.The infrared thermal image-based monitoring process of peach decay under uncontrolled temperature conditions.[J].Journal of Animal&Plant Sciences,2015,25(3):202-207.
[10]门洪,陈鹏,邹丽娜,等.基于主动热红外技术的苹果损伤检测[J].中国农机化学报,2013,34(6):220-224.
[11]LINDEN V V,VEREYCKEN R,BRAVO C,et al.DETECTION TECHNIQUE FOR TOMATOBRUISE DAMAGE BY THERMAL IMAGING[J].Acta Horticulturae,2003(599):389-394.
[12]刘娟娟.基于红外和可见光图像融合的苹果缺陷检测[D].南昌:华东交通大学,2012.
[13]周建民,周其显.基于主动热成像技术的苹果早期机械损伤检测[J].农机化研究,2010,32(8):162-165.
[14]高迎旺,耿金凤,饶秀勤.果蔬采后内部损伤无损检测研究进展[J].食品科学,2017,38(15):277-287.
[15]SUPHACHOKAUYCHAI S,KIRANANTAWAT K,SANANPANICH K.Detection of perforators using smartphone thermal imaging[J].Plastic and Reconstructive Surgery Global Open,2016,4(5):1-2.
[16]MEH J,CARRIèRE M E,MEIJDE V A,et al.The FLIR ONE thermal imager for the assessment of burn wounds:Reliability and validity study.[J].Burns Journal of the International Society for Burn Injuries,2017,43(7):1-8.
[17]XUE E Y,CHANDLER L K,VIVIANO S L,et al.Use of FLIR ONE Smartphone Thermography in Burn Wound Assessment[J].Annals of Plastic Surgery,2018,80(4):236-238.
[18]NAIK S,PATEL B.Thermal imaging with fuzzy classifier for maturity and size based non-destructive mango(Mangifera Indica L.)grading[C].International Conference on Emerging Trends&Innovation in ICT.IEEE,2017:15-20.
[19]孙玉侠,荣臻,王健,等.热成像技术在食品质量安全控制中的应用[J].食品科学,2013,34(5):318-321.
[20]KAPUR J N,SAHOO P K,WONG A K C.A new method for gray-level picture thresholding using the entropy of the histogram[J].Computer vision,graphics,and image processing,1985,29(3):273-285.
[21]HELLEBRAND,HANS J.Horst Beuche,and Manfred Linke.Determination of thermal emissivity and surface temperature distribution of horticultural products[C].Sixth International Symposium on Fruit,Nut and Vegetable Production Engineering,2001.