キュウリ果実検出用視覚センサの研究（第１報）　果実の識別および認識実験

• 近藤 直

  岡山大学大学院自然科学研究科

• 芝野 保徳

  岡山大学農学部

• 毛利 建太郎

  岡山大学農学部

• 門田 充司

  岡山大学農学部

• 中村 博

  岡山大学農学部

• 有馬 誠一

  井関農機株式会社

書誌事項

タイトル別名

• Studies on Visual Sensor for Cucumber Fruit Detecting(1). Experiments of Fruit Discrimination and Recognition.
• —Experiments of Fruit Discrimination and Recognition—
• ―果実の識別および認識実験―

抄録

It is desirable to develop the visual sensor which can detect fruit for agricultural robot and plant factory which have been studied recently. In this paper, fruit discrimination and recognition were experimented in order to develop cucumber fruit detecting visual sensor.<BR>Generally, cucumber fruit has so similar color to its leaf and stem that it is difficult to discriminate them by use of R, G, B signals of color T.V. camera. In this experiment, image was input by using a monochrome T.V. camera and two interference filters which had sensitivity not only in visible region but also in infrared region for discrimation. Secondly, binary image was made after calculation between the two gray level images. Thirdly, fruit was recognized by features of the binary image and line image. From the experimental results about discrimination and recognition, the following was obtained.<BR>1) It was possible to discriminate fruit from its leaves and stems by use of both 550 and 850 nm wavelength interference filters.<BR>2) It was effective for fruit discrimination to add pixels of high gray level in the image through 850 nm wavelength, when part of fruit had yellow green color or much bright reflection.<BR>3) Fruit was almost recognized successfully by using features in the binary image and line image such as area, Feret's diameter ratio, continuity of horizontal intersectional line, centerline length and centerline direction.<BR>4) Connection between centerlines considering the directions made fruit recognition easy and precise, even when fruit was divided by leaves or stems in the image.

収録刊行物

• 生物環境調節

  生物環境調節 31 (2), 93-100, 1993

  日本生物環境工学会

詳細情報

• CRID: 1390001205079945856
• NII論文ID: 130003879524
• DOI: 10.2525/ecb1963.31.93
• ISSN: 21851018
• ISSN: 05824087
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可