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  • 标题:Unique Measure for Geometrical Shape Object Detection-based on Area Matching
  • 本地全文:下载
  • 作者:Debasis Chaudhuri ; N. K. Kushwaha ; I. Sharif
  • 期刊名称:Defence Science Journal
  • 印刷版ISSN:0976-464X
  • 出版年度:2012
  • 卷号:62
  • 期号:1
  • 页码:58-66
  • DOI:10.14429/dsj.62.942
  • 语种:English
  • 出版社:Defence Scientific Information & Documentation Centre
  • 摘要:Object classifier often operates by making decisions based on the values of several shape properties measured from an image of the object. The paper introduces a unique definition of measure for 2-D geometrical object shape detection. Using this definition different object shapes can be identified on the basis of their degree of fitness parameter. Basically, we have fitted a 2-D polygon/curve on the object as a best fitted polygon/curve and computed the parameter degree of fitness which is the ratio of the matching area and non-matching area due to the fitted polygon/curve and the object both. The results show the effectiveness of the proposed measure. Defence Science Journal, 2012, 62(1), pp.58 -66 , DOI:http://dx.doi.org/10.14429/dsj. 62.942
  • 关键词:Measure;shape detection;pattern recognition;circular fit;elliptic fit;rectangular fit
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