Inductive Learning of Primitive Shape Features of Closed Contours

نویسندگان

  • Ichiro Murase
  • Shun'ichi Kaneko
  • Satoru Igarashi
چکیده

A method for inductive learning of primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns by a segmentation method based on genetic algorithm. Merging is applied to selected primitive candidates to filter out their redundancy as similarity and inclusion. Experimental results with map figures are shown.

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تاریخ انتشار 1996