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文章基本信息

  • 标题:Construction of Finite Element Segmentation Algorithm Model of Image
  • 本地全文:下载
  • 作者:Li Han ; Pengyuan Wang
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:11
  • 页码:109
  • 出版社:SERSC
  • 摘要:Grading the fruit by using machine vision system, it is hoped by the computer to recognize and understand the image automatically, in order to achieve this objective, the key step is to capture the suitable fruit images so that fruit image information can be effectively decomposed. Therefore, the final result of decomposition is to get some of the characteristics of each image with its own motifs, such as borders, shape and so on. By using these primitives, you can match a certain pattern, so as to determine the quality of the fruit. In this paper,it takes the overview of the finite element segmentation as a starting point, combined with the interpretation of the numerical algorithm and FCM algorithm functional convergence of the sequence, relying on Mumford-Shah function model toinvestigate the generation of fruit image finite element model.
  • 关键词:Fruit image; Finite element segmentation; Arithmetic model
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