Visualization and Analysis of Rice Root Growth Characteristics Using Image Sequence Processing

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  • MIYAMURA (NAKAMURA) Hiroko
    Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology
  • TANABATA Takanari
    Central Research Laboratory, Hitachi Ltd. (Present affiliation: Department of Plant Genome Research, Kazusa DNA Research Institute)
  • SAITO Takafumi
    Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology
  • SHINOMURA Tomoko
    Central Research Laboratory, Hitachi Ltd.

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  • 時系列画像解析によるイネの根の成長特性の解析と可視化
  • ジケイレツ ガゾウ カイセキ ニ ヨル イネ ノ ネ ノ セイチョウ トクセイ ノ カイセキ ト カシカ

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Abstract

In this paper, we propose two techniques to observe the growth process of a rice root. The first one has been established for conducting semi-automatic analysis of growth characteristics of a rice root, such as root length, area, and inclination angle, by using the image sequence processing. The second one is proposed for effective visualization of characteristics that are analyzing by first techniques. For instance, it can compare the graphs that represent characteristics of large amounts of samples. This has been achieved by making the graphs translucent and overlapping them. The observation procedure of the growth process can be conducted efficiently by employing the combined two techniques proposed in this paper.

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