Development of Automatic Segmentation Software for Efficient Measurement of Area on the Digital Images of Plant Organs

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  • 植物器官のデジタル画像面積を効率的に計測できる領域抽出ソフトウエアの開発
  • ショクブツ キカン ノ デジタル ガゾウ メンセキ オ コウリツテキ ニ ケイソク デキル リョウイキ チュウシュツ ソフトウエア ノ カイハツ

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Abstract

We developed automatic segmentation software for efficient measurement of area on digital images of plant organs. This software enables to measure area size of plant organs from a large number of images with less effort. The developed software has following two features. (1) We developed the technique for dividing plant organs and background using color difference of digital images. An accurate region extraction of plant organs can be executed compared with a conventional binarization method. (2) We developed software functions automating repetitive tasks to improve the task efficiency of image analysis. The developed functions enable efficient software operations and the processing of large number of image analysis. We applied the developed software to analysis of differences in the senescent pattern of petals in Ipomoea nil (L.) Roth. We found that the software effectively detected differences compared with conventional visual comparison methods. The developed software is available for use free of charge by downloading at http://www.kazusa.or.jp/picasos/.<br>

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