著者
高橋 直己 坂本 隆 加藤 俊一
出版者
Japan Society of Kansei Engineering
雑誌
日本感性工学会論文誌 (ISSN:18845258)
巻号頁・発行日
pp.TJSKE-D-15-00027, (Released:2015-12-22)
参考文献数
26
被引用文献数
3 4

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.

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#memo 色の抽出方法 https://t.co/rtPUtJcvkr
イメージ写真からの代表色とクラスター特徴量の抽出によるインテリアブランドの分析 https://t.co/zGGbPJFBzg おしゃれを科学する研究発見

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