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.

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  • KONDO Naoshi
    The Japanese Society of Agricultural Machinery Faculty of Agriculture, Okayama University
  • OGAWA Yuichi
    The Japanese Society of Agricultural Machinery Faculty of Agriculture, Okayama University
  • MONTA Mitsuji
    The Japanese Society of Agricultural Machinery Faculty of Agriculture, Okayama University

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Other Title
  • 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
  • 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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Abstract

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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