キクの挿し木作業の自動化に関する基礎的研究 (第2報)  近赤外画像および輪郭の複雑性を利用した挿し木認識アルゴリズムの開発

書誌事項

タイトル別名
  • Basic Studies on Automatization of Chrysanthemum Cutting Sticking Operation. (Part 2). Development of Chrysanthemum Cutting Recognizing Algorithm by Use of Near Infrared Image and Boundary Complexity.
  • 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 Near Infrared Image and Boundary Complexity
  • 近赤外画像および輪郭の複雑性を利用した挿し木認識アルゴリズムの開発

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抄録

In this paper, a detecting algorithm of chrysanthemum cutting for automation of the cutting sticking operation was developed by use of a monochrome TV camera with near infrared sensitivity and boundary complexity of cutting based on problems in the previous paper. From the experimental results using this algorithm, it was observed that infrared region was more effective than visible region for discrimination between the cutting and its background. A success rate to detect the cutting stem end was 96.1% and it was much higher than the previous method, although its processing time was almost same (1.5s). In addition, it was possible to make 0% mis-detection in this algorithm.

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