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Websites of interior brands display many photographs of products that include walls, floor, and other furniture. Such photographs, known as image photographs, have much information about the brand image because the colors of walls, floor, and furniture in a photograph influence the brand image. This paper proposes a method of extracting representative colors of interior photographs in the L*u*v* color space by using a hierarchical clustering algorithm and analyzes the characteristics and differences of interior brands with color features by using model-based clustering. Our proposed method can be used to describe the common characteristics of interior image photographs and differences between six interior brands (arflex, Cassina, Fritz Hansen, IKEA, karimoku, and Muji). To measure similarity or difference between brand images, we constructed a brand image space with clusters of representative colors and obtained a relationship between six brand images.

Color-analysis of Image Photography of Interior Brand based on Extraction of Representative Colors and Clustered Color-features