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文章基本信息

  • 标题:Review of Shape and Texture Feature Extraction Techniques for Fruits
  • 本地全文:下载
  • 作者:Drashti Jasani ; Paras Patel ; Snehal Patel
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:6
  • 页码:4851-4854
  • 出版社:TechScience Publications
  • 摘要:Fruits grading has been updated from traditional ways and perform automatic grading. All the task of assembling of object done manually in India today. Shape and texture are important visual features of an image, which helps, in automated fruit grading. Using Digital image processing, one can fulfill many kind of tasks like object shape, size and color detection and other feature extraction etc. Using image processing, we can detect shape of objects as well as we can extract texture of objects. In this paper various algorithms of shape detection and texture feature extraction are explained and conclusions are provided for best algorithm. Merits and demerits of algorithms and methods are also provided.
  • 关键词:Image Processing; Fruits; Shape; Texture
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