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利用数字图像量化人类所感知的植物颜色和色差。

Quantifying plant colour and colour difference as perceived by humans using digital images.

作者信息

Kendal Dave, Hauser Cindy E, Garrard Georgia E, Jellinek Sacha, Giljohann Katherine M, Moore Joslin L

机构信息

Australian Research Centre for Urban Ecology, Royal Botanic Gardens, Melbourne, Victoria, Australia.

出版信息

PLoS One. 2013 Aug 20;8(8):e72296. doi: 10.1371/journal.pone.0072296. eCollection 2013.

Abstract

Human perception of plant leaf and flower colour can influence species management. Colour and colour contrast may influence the detectability of invasive or rare species during surveys. Quantitative, repeatable measures of plant colour are required for comparison across studies and generalisation across species. We present a standard method for measuring plant leaf and flower colour traits using images taken with digital cameras. We demonstrate the method by quantifying the colour of and colour difference between the flowers of eleven grassland species near Falls Creek, Australia, as part of an invasive species detection experiment. The reliability of the method was tested by measuring the leaf colour of five residential garden shrub species in Ballarat, Australia using five different types of digital camera. Flowers and leaves had overlapping but distinct colour distributions. Calculated colour differences corresponded well with qualitative comparisons. Estimates of proportional cover of yellow flowers identified using colour measurements correlated well with estimates obtained by measuring and counting individual flowers. Digital SLR and mirrorless cameras were superior to phone cameras and point-and-shoot cameras for producing reliable measurements, particularly under variable lighting conditions. The analysis of digital images taken with digital cameras is a practicable method for quantifying plant flower and leaf colour in the field or lab. Quantitative, repeatable measurements allow for comparisons between species and generalisations across species and studies. This allows plant colour to be related to human perception and preferences and, ultimately, species management.

摘要

人类对植物叶片和花朵颜色的感知会影响物种管理。在调查过程中,颜色及颜色对比度可能会影响入侵物种或珍稀物种的可探测性。为了便于跨研究比较以及跨物种归纳,需要对植物颜色进行定量、可重复的测量。我们提出了一种利用数码相机拍摄的图像来测量植物叶片和花朵颜色特征的标准方法。作为入侵物种检测实验的一部分,我们通过量化澳大利亚瀑布溪附近11种草地物种花朵的颜色及颜色差异,对该方法进行了演示。我们使用五种不同类型的数码相机,对澳大利亚巴拉瑞特市五种住宅花园灌木物种的叶片颜色进行测量,以此测试该方法的可靠性。花朵和叶片的颜色分布有重叠但也有明显差异。计算得出的颜色差异与定性比较结果吻合良好。通过颜色测量确定的黄色花朵比例覆盖估计值与通过测量和计数单个花朵获得的估计值相关性良好。在产生可靠测量结果方面,数码单反相机和无反相机优于手机相机和傻瓜相机,尤其是在光照条件多变的情况下。利用数码相机拍摄数字图像进行分析,是一种在野外或实验室量化植物花朵和叶片颜色的可行方法。定量、可重复的测量使得能够在物种之间进行比较,并在物种及研究之间进行归纳。这使得植物颜色能够与人类感知和偏好相关联,并最终与物种管理相关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce57/3748102/5153e5560503/pone.0072296.g001.jpg

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