Evaluation and analysis the chalkiness of connected rice kernels based on image processing technology and support vector machine
作者: Chengming SunTao LiuChengxin JiMin JiangTing TianDoudou GuoLijian WangYingying ChenXiumei Liang
作者单位: 1Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, College of Agriculture, Yangzhou University, Yangzhou 225009, China
刊名: Journal of Cereal Science, 2014, Vol.60 (2), pp.426-432
来源数据库: Elsevier Journal
DOI: 10.1016/j.jcs.2014.04.009
关键词: Connected rice kernelsChalkinessImage processingConvex point matchingSupport vector machine
原始语种摘要: Abstract(#br)In order to determine the location and type of rice chalkiness accurately, image processing techniques were adopted to process acquired rice kernel images. Connected rice kernels were separated from each other using a convex point matching method. Chalkiness was extracted according to the differences in grayscale levels between chalky and normal regions in the rice kernel and chalky rice kernels were classified by a support vector machine (SVM). The results showed that 2–5 connected rice kernels could be separated accurately using this method and chalky areas could be extracted. The classification accuracy for indica rice and japonica rice reached 98.5% and 97.6%, respectively, by using SVM. Hence, the measurement results are accurate and reliable, and the presented work...
全文获取路径: Elsevier  (合作)
影响因子:2.088 (2012)

  • chalkiness 失光
  • image 
  • connected 连通的
  • processing 加工
  • machine 机器
  • analysis 分析
  • vector 矢量
  • technology 工艺
  • based 基于
  • support 支柱