  Harmony level prediction is receiving increasing attention nowadays. Color
plays a crucial role in affecting human aesthetic responses. In this paper, we
explore color harmony using a fuzzy-based color model and address the question
of its universality. For our experiments, we utilize a dataset containing
attractive images from five different domains: fashion, art, nature, interior
design, and brand logos. We aim to identify harmony patterns and dominant color
palettes within these images using a fuzzy approach. It is well-suited for this
task because it can handle the inherent subjectivity and contextual variability
associated with aesthetics and color harmony evaluation. Our experimental
results suggest that color harmony is largely universal. Additionally, our
findings reveal that color harmony is not solely influenced by hue
relationships on the color wheel but also by the saturation and intensity of
colors. In palettes with high harmony levels, we observed a prevalent adherence
to color wheel principles while maintaining moderate levels of saturation and
intensity. These findings contribute to ongoing research on color harmony and
its underlying principles, offering valuable insights for designers, artists,
and researchers in the field of aesthetics.
