The aim of this study is to analyze the impression provided by a color image and the color information contained in theimage. To process a large number of color images, we used a method of extracting representative colors from an image based on pixelinformation. In this study, we developed a method to combine image recognition technology using deep learning with representativecolor extraction technology, and analyzed the impression and color characteristics of design for store interior images. We collectedcolor images of store interiors along with their tagged keywords from the web. Representative colors were extracted via a method usingregion division by deep learning. Furthermore, we analyzed the characteristics of the representative colors included in thecorresponding images for the keywords "natural," "modern," and "cute," which were frequently used in the collected data to expressthe impression of the store design. The tendency of color features was analyzed for each image. For example, in "natural" designs,there were many colors close to yellowish green, which were associated with objects such as "plant" and "tree". Such knowledge isimportant for design support, that is, knowledge of the color to be incorporated into the design, as well as of methods to incorporatethat color.
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