Image-based phenotyping: use of colour signature in evaluation of melon fruit colour
Image-based phenotyping: use of colour signature in evaluation of melon fruit colour
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DOI：
10.1007/s10681-009-0071-9
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发表时间：
2010-02
期刊：
影响因子：
1.9
通讯作者：
Y. Yoshioka;N. Fukino
中科院分区：
文献类型：
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作者：
Y. Yoshioka;N. Fukino
水果的颜色，无论是外部还是内部，都很重要，因为它直接关系到产品的商业价值。在果实颜色的育种和采前、采后研究中，需要一种有效的评价颜色的方法来代替肉眼的主观评价。我们使用了一系列的数据处理和基于内容的图像检索中使用的统计分析，以评估甜瓜果肉颜色，并评估这种方法的效果。该方法依赖于将来自图像的颜色信息总结为颜色特征，计算颜色特征之间的土方机距离（EMD），以及基于EMD矩阵的多维缩放（MDS）。对一组果肉图像执行MDS揭示了重要的颜色特征，例如绿色果肉瓜中的黄绿色强度和红色果肉瓜中的绿色和红色部分的相对大小，而不需要明确定义这些特征。由于品种之间的差异方差的比例更高的MDS比传统的评价，这表明这种新的方法在检测品种之间的颜色差异。该方法提供了有效的，客观的指标，果实颜色，并显示出相当大的希望，用于研究和育种计划。
Fruit colour, both external and internal, is important because it relates directly to the commercial value of the product. In breeding and in pre- and postharvest studies of fruit colour, an effective method for evaluating colour 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 flesh colour, and assessed the efficacy of this approach. This method relies on summarizing colour information from images into colour signatures, calculating the earth mover’s distance (EMD) between colour signatures, and multi-dimensional scaling (MDS) based on an EMD matrix. Performing MDS on a set of fruit flesh images revealed important colour features, such as the yellowish-green strength in green-fleshed melons and the relative size of the green and red parts in red-fleshed melons, without the need for an explicit definition of these features. The proportion of variance due to differences among cultivars was higher by MDS than by traditional evaluation, indicating that this new method performed best at detecting colour differences among cultivars. The method provides effective, objective indicators of fruit colour, and shows considerable promise for use in research and breeding programs.