TY - JOUR 
A1 - Antela, K.
AU - Morales-Rubio, A.
AU - Besada, Cristina
AU - Tarancón, Paula
AU - Cervera, M. L.
AU - Luque, M. J.
T1 - Color transform to optimize fruit ripeness discrimination in dichromats
Y1 - 2020
UR - http://hdl.handle.net/20.500.11939/7423
AB - Aim: To develop and test a color transform for red-green color
defectives to enhance tomatoipeness judgements.
Experimental Method: Congenital protan and deutan color
defectives suffer sensitivity losses in the red-green mechanism [1]
compromising performance in color-discrimination-based everyday
tasks [2], which may be compensated by procedures designed to
optimize image color gamuts to minimize color confusion [3]. Given that
red-green defectives retain normal discrimination along the blue-yellow
axis in color space [1], we propose a simple procedure to recode redgreen
color differences in CIELAB color space as blue-yellow color
differences, to allow red-green defectives to correctly judge the ripeness
of tomatoes.
An agricultural cooperative of Perelló supplied and classified by
color the tomato samples in a controlled manner in four standard
ripeness stages. Sample color was measured with a portable Minolta
CR-300 colorimeter (Minolta Co. Ltd, Osaka, Japan). Tomatoes were
photographed with a Smartphone (Samsung Galaxy S7 edge model SMG935F
with a 12.2 MP camera). RGB values of the image were
transformed to XYZ values using Matlab’s sRGB transform, and then to
CIEL*a*b*, using as reference white a white sample illuminated as the
samples. Dichromatic perception of the images was simulated by the
corresponding pair algorithm [4]. The modified palette was obtained by
exchanging the values of the red-green (a*) and blue-yellow (b*)
descriptors (Fig. 1).
KW - Color transform
KW - Ripeness
LA - en
ER -