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タイトル: A halation reduction method for high quality images of tomato fruits in greenhouse
著者: Cheng, Xiao
Kondo, Naoshi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5010-966X (unconfirmed)
Ogawa, Yuichi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-2238-2615 (unconfirmed)
Shiigi, Tomoo
Widodo, Slamet
Watanabe, Yuichi
Fujiura, Tateshi
著者名の別形: 近藤, 直
キーワード: Halation
Machine vision
PL filter
HSI color space
Image processing
Brewster's angle
Tomato
発行日: Oct-2015
出版者: Elsevier B.V.
誌名: Engineering in Agriculture, Environment and Food
巻: 8
号: 4
開始ページ: 200
終了ページ: 206
抄録: Halation is a serious problem for machine vision systems which can cause loss of color information from an image. Images of tomato fruits grown in a greenhouse taken with a different rotational angle polarizing filter (PL filter) were acquired and combined into one resulting image to eliminate multiple halation areas due to sunlight and reflected light. An image acquisition system composed of a CCD camera and a stepping motor was used to acquire the images. The multiple halation areas could be eliminated at a certain angle of incidence and the color representation of the resultant image was improved. The results demonstrate the feasibility of eliminating multiple halation areas using this method.
著作権等: © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
The full-text file will be made open to the public on 1 October 2017 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.
This is not the published version. Please cite only the published version.
この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/210027
DOI(出版社版): 10.1016/j.eaef.2015.10.001
出現コレクション:学術雑誌掲載論文等

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