| Project/Area Number |
20880035
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| Research Category |
Grant-in-Aid for Young Scientists (Start-up)
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| Allocation Type | Single-year Grants |
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| Research Field |
Horticulture/Landscape architecture
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| Research Institution | National Agricultural Research Organization |
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Principal Investigator |
YOSHIOKA Yosuke National Agricultural Research Organization, 野菜茶業研究所・野菜育種研究チーム, 研究員 (50462528)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥2,925,000 (Direct Cost: ¥2,250,000、Indirect Cost: ¥675,000)
Fiscal Year 2009: ¥1,365,000 (Direct Cost: ¥1,050,000、Indirect Cost: ¥315,000)
Fiscal Year 2008: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | Color signature / 果実 / 画像解析 / 画像データベース / 紫外線 / 蛍光物質 / メロン / イチゴ / 定量的評価 / CIE-Lab / 多次元尺度構成法 / 輸送問題 / 果肉色 |
|---|
| Research Abstract |
In breeding and in pre- and postharvest studies of fruit color, an effective method for evaluating color is needed to replace subjective evaluations by eye. We used a series of data processing and statistical analyses used in content-based image retrieval to evaluate melon and strawberry flesh color, and assessed the efficacy of this approach. This method relies on summarizing color information from images into color signatures, calculating the earth mover's distance (EMD) between color signatures, and multi-dimensional scaling based on an EMD matrix. This method revealed important color features, such as the yellowish-green strength in green-fleshed melons, the relative size of the green and red parts in red-fleshed melons, and the relative size of the white and red parts in strawberry flesh, without the need for an explicit definition of these features. Moreover, this new method performed better at detecting color differences among cultivars than traditional evaluation methods. The method provides effective, objective indicators of fruit color, and shows considerable promise for use in research and breeding programs.
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