Exploration of Image Features for Describing Visual Impressions of Black Fabrics

Abstract

Quantitative evaluation of human sensibility, or “Kansei,” has recently attracted much attention. Evaluation of human visual impression is one of the important topics of this area. It is proposed in this paper that an objective evaluation method of human impressions based on the logistic discriminant analysis. This method applies the logistic discriminant analysis using various image features for sample images that have been already discriminated by sensory tests. An image feature yielding the logistic discrimination model of relatively high fitness to the human discrimination is regarded as that expressing human sensibility more appropriately than other features yielding low fitness. This method employs no subjective words to express human impressions but enables objective comparison of image features with respect to the ability of expressing human sensibility. This method was applied experimentally for exploring image features to describe human visual impressions of black fabrics. Furthermore, the comparison with the result of the discriminant analysis employing some contracted scores of the features by Principal Components Analysis (PCA) shows superiority of our proposed method.