キクの挿し木作業の自動化に関する基礎的研究　（第１報）　　色画像およびチェインコードを用いた挿し穂認識アルゴリズムの開発

DOI Web Site 被引用文献4件 参考文献5件

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タイトル別名
  • Basic Studies on Automatization of Chrysanthemum Cutting Sticking Operation. (Part 1). Development of Chrysanthemum Cutting Recognizing Algorithm by Use of Color Image and Chain Code.
  • キク ノ サシキ サギョウ ノ ジドウカ ニ カンスル キソテキ ケンキュウ
  • Development of Chrysanthemum Cutting Recognizing Algorithm by Use of Color Image and Chain Code
  • 色画像およびチェインコードを用いた挿し穂認識アルゴリズムの開発

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抄録

A cutting sticking operation is laborious and requires long time especially for a large amount of chrysanthemum seedlings in Japan. In this paper, a detecting algorithm of chrysanthemum cutting is described for automation of the cutting sticking operation. An image of the chrysanthemum cutting was acquired by a color TV camera and a stem end of the cutting was detected on a thresholding image by combination to use MFN (Most Frequent Number) method based on chain code and a method to recognize the stem shape around a candidate point of the stem end. From the experimental results, it was observed that its success rate was 88% and that 1.5 seconds was required for the detection.

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