来自University of the Philippines 的科学家较近发表了题为Systematic establishment of colour descriptor states through image-based phenotyping的文章，文章研究用到了VideometerLab多光谱表型成像系统。

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Systematic establishment of colour descriptor states through image-based phenotyping

Renerio P. Gentallan Jr.1*, Nestor C. Altoveros1, Teresita H. Borromeo1,Leah E. Endonela2, Fiona R. Hay3, Antonio G. Lalusin1, Consorcia  E. Reaño4 andYosuke Yoshioka5

pines,   2Institute   of  Plant  Breeding,   College  of  Agriculture  and   Food  Science, University of the Philippines Los Baños, College, Laguna, Philippines, 3Department of Agroecology, Aarhus Universit,  Forsøgsvej  1,  4200   Slagelse,  Denmark,   4Institute  of  Statistics,  College  of  Arts  and  Science, University of the Philippines Los Baños, College, Laguna, Philippines and 5Faculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan

Received 3 April 2018; Accepted 7 September 2018

1Institute of Crop Science, College of Agriculture and Food Science, University of the Philippines Los Baños, College,  Laguna,  Philip

Abstract

A systematic method for determining colour descriptor states using image analysis is proposed using pili (Canarium ovatum) as a model. Kernel images of 52 pili accessions from the core collection of the Institute of Crop Science and National Plant Genetic Resources Laboratory, University of the Philippines Los Baños were captured using a calibrated VideometerLab 3 setup. Colour descriptor states  were derived from the average International Commission on Illumination lightness (L*), green–red (a*) and blue–yellow (b*) colour component values. Cluster analysis and subsequent col- our-parameter averaging per cluster were performed to produce representative colour values of de- scriptor states. The Euclidian distance (Delta E) of 3.5 was used to cut the cluster into readily distinguishable colour differences resulting to three descriptor states – light brown, brown and dark brown. Continuous colour variation of brown colour was observed indicating a possible quan- titative nature of the trait. The use of delta E in elucidating the descriptor  lists served as a gauge in successfully identifying distinguishable variations between colours. The method described can be applied to the elucidation of colour descriptor  states of all parts of the plant of all crop species.

Keywords: Canarium ovatum, characterization, descriptor states, image-based  phenotyping, objective colour