Traditional methods for colour quantification are complicated by the fact t
hat colours change depending on illumination, and that different observers
often perceive colours differently. Here we describe a new affordable metho
d, which improves methods relying on human observers, to quantify patterns
and colour variations. The procedure combines customized software with the
use of digital cameras and commercial photofinishing software. The computer
routines correct unavoidable illumination changes during image capturing,
making all images comparable. Colours are quantified in a continuous scale
of the conventional colour models developed for the human vision system, su
ch as HSB, RGB, CMYK, or Lab, amenable for statistical analyses. We illustr
ate the use of this technique showing a previously unknown sexual dimorphis
m in the red-legged partridge, Alectoris rufa, undetectable with the unaide
d human eye. We also demonstrate that the digital system provides a finer d
iscrimination than human observers for scoring the plumage of partridges be
longing to two different subspecies. This method has potential applications
in behavioural ecology, physiology, genetics, evolutionary biology, and ta
xonomy.