Quantitative evaluation of human sensibility, that
is, "Kansei" in Japanese, has recently attracted much attention.
Kansei engineering is an approach to connect the human
sensibility with engineering applications. We have investigated
a relationship between the visual impressions of black fabrics
and their image features from the viewpoint of Kansei
In this paper, the two-dimensional Fourier transformation
was applied for analyzing an image of black fabric in order to
connect with formality, which is one of evaluation items for the
visual impression of the fabrics. Sensory vision test was carried
out to several typical kinds of black fabrics while Fourier
spectrum features were extracted from the fabric images.
Amplitudes of the Fourier spectrum were classified by k-means
method, which is a cluster analysis method, and were discussed
to analyze the visual impression. As the results, this study has
found that differences of formality in the visual impressions of
texture characteristics are derived from the features of the
classified amplitudes of Fourier spectrum.
Kansei, Black fabrics, Formality, Visual impressions, Image features, Fourier spectrum, k-means