In this paper, an analysis method of the effect of several factors
such as viewing distance in texture perception using morphological
and statistical model is proposed. We synthesized textures by
controlling local and global textural features separately using a
texture model based on mathematical morphology. Forty subjects
estimated visual impression of the texture stimuli with changing the
viewing distance. The collected data was analyzed using the logistic
regression model and Akaike Information Criterion (AIC). The
experimental results indicate that the mutual interactions of local
and global features of a texture are significantly affected by the
viewing distance on human perception. The analysis numerically
indicates that other factors such as gender, prior knowledge, and
the changing order of viewing positions also have great influences
on human texture perception.