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1、基于图像处理的蜜柑大小自动分级方法摘要:文章介绍了采用图像处理技术进行蜜柑大小自动分级的方法,利用CCD摄像机获取蜜柑的样本图像,应用MATLAB软件实现对样本图像的背景去除、二值化、图像平滑、特征量提取和图像标定等处理,参照蜜柑分级的国家标准完成蜜柑自动分级。经试验验证表明,此方法分级精度高、速度快。关键词:蜜柑;图像处理;自动分级中图分类号:TP39文献标识码:A文章编号:1007-8320(2012)05-0207-03MandarinsizeoftheautomaticclassificationmethodbasedonimageprocessingT
2、ANBo,TANGShao-Xian(CollegeofInformationScienceandTechnology,HunanAgriculturalUniversity,ChangShaHunan410128,China)Abstract:ThispaperdescribestheuseofimageprocessingtechniquesforautomaticclassificationofmandarinsizeCCDcameraforsampleimagesofthesweetorange,usingMATLABsoftwareonthesampl
3、eimagebackgroundremoval,binarization,imagesmoothing,thecharacteristicquantityextractionandimagecalibrationandprocessing,withreferencetoCitrusclassificationofnationalstandardstocompleteCitrusautomaticclassification.Experimentalverificationshowthatthismethodofclassificationaccuracy,hig
4、hspeed.Keywords:citrus;imageprocessing;automaticclassification·%是一个求图像中每个小颗粒的面积和周长:I=imread('02.jpg');BW=im2bw(I);%转化为二值图像[L,N]=bwlabel(BW,4);%标注二进制图像中已连接的部分X=1;%默认图像中只有一个连同区域.[ij]=find(L==X);%将标注的区域放到一个数组中.bwi=bwselect(L,i,j,4);p=bwperim(bwi);perm=sum(sum(p));%周长.area=size(i);%面积.标注
5、区域像素点数就为物体面积.imshow(BW);pa=['图像面积为:'num2str(area)'像素点'];pp=['图像周长为:'num2str(perm)'像素'];xxx=[pa,pp];title(xxx);·复杂彩色目标的模糊模式识别方法及其在植物果实自动实时检测中的应用研究SomePhysicalandMechanicalPropertiesofGarlic作者:Bahnasawy,AH(Bahnasawy,AdelH.)来源出版物:INTERNATIONALJOURNALOFFOODENGINEERING 卷:3 期:6 文献号:7
6、 DOI:10.2202/1556-3758.1136 出版年:2007被引频次:1(来自WebofScience)引用的参考文献:18[查看RelatedRecords] 引证关系图 摘要:Thephysicalparameterresultsshowedthatthegarlicgeometricandarithmeticmeandiametersrangedfrom2.53to4.93,and2.53to5.02cm,respectivelyaccordingtothebulbsizecategories.Thecloves'length
7、,widthandthicknesswere1.92to2.91,0.78to1.32,and0.69to0.99cm,respectively.Thesurfaceandcross-sectionalofareasrangedfrom53.31to136.4and29.1to128.4cm2,respectively.Thenumberofclovesrangedfrom18to51/bulbaccordingtothebulbssizecategories.Bulkdensity,reposeangleandcoefficientofcontactsurfa
8、cevaluesrang