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1、农业网络信息·信息技术·2015年第7期AGRICULTURENETWORKINFORMATION基于数字图像的谷穗形态快速测量技术的研究李宗远，杜金哲，蔡灿超，杨锦忠（青岛农业大学/山东省旱作农业技术重点实验室，山东青岛266109）摘要：本文评价了一种能够快速测量谷子果穗形态的数字图像处理技术，以9个品种的谷子作为材料，每品种20个果穗，使用CCD扫描仪采集谷穗的RGB彩色图像。设计算法对RGB图像进行降噪、灰度化、谷穗分割等处理，测量谷子的穗粗，穗长，穗侧面积，和穗体积等4个形态性状，改变谷穗图像的扫描分辨率、亮度、旋转和镜像后，重新测量，测试图像处理算法鲁棒性。同一性状测量值在图像改
2、变前后的直线回归系数分别为，穗体积在0.985~1.075之间，穗侧面积在0.958~1.050之间，穗长在0.9916~1.030之间，穗粗在1.001~1.050之间。全部决定系数值不小于0.992。结果表明新技术具有图像分辨率、亮度、旋转和镜像的不变性，测量精确度高。开发的数字图像处理技术能够快速、精确测量谷子果穗的形态特征，对今后实现对谷子形态测量自动化奠定了基础。关键词：谷子果穗；形态测量；图像处理；不变性；非刚性农产品中图分类号：TP315文献标识码：A文章编码：1672－6251（2015）07－0040－05RapidMeasurementTechniqueofCornFor
3、msBasedonDigitalImageLIZongyuan,DUJinzhe,CAICanchao,YANGJinzhong(QingdaoAgriculturalUniversity/ShandongProvincialKeyLaboratoryofDryFarmingTechniques,ShandongQingdao266109)Abstract:Thispaperaimedatdevelopingandevaluatingadigitalimageprocessingtechnologythatcouldquicklymeasuretheearmillet.Taking9mill
4、etvarietiesastestedmaterials,RGBcolorimagesof20milletearsforeachvarietywerecollectedusingaCCDscanner.Themorphologicalcharactersofmillet,namelyeardiameter,earlength,earsideoftheareaandearsize,weremeasuredbytheRGBimages,whosenoisereduction,grayingandearsofcornprocessingdivisionwereoptimizedbyusingdes
5、ignedalgorithm;What’smore,robustnesswasremeasuredafterchangingscanningresolution,brightness,rotationandmirroringofearimages.Theresultsshowedthatthelinearregressioncoefficientsbetweenbeforechangedandafterchangedofthesametraitswereasfollows:0.985-1.075forsideoftheearvolume,0.958-1.050foreararea,0.991
6、6-1.030forearlength,1.001-1.050foreardiameter.Alldecisionscoefficientweremorethan0.992,whichindictedthatdigitalimageprocessingtechnologyhadbetterimageresolution,brightness,androtationandmirroringofinvariance,showedhighermeasurementaccuracy.Thedevelopeddigitalimageprocessingtechnologycouldquicklyand
7、accuratelymeasurethemorphologicalcharacteristicsofmilletear,whichlaidthefoundationforautomatedmeasurementofthemillet.Keywords:milletear;morphometry;imageprocessing;invariance;non-rigidagriculturalproduct近年来
