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Research on color and texture characteristics and visual perception of custom wardrobe finishes
by
Zhang, Jiale
, Chen, Yushu
in
3-D printers
/ Big Data
/ Brightness
/ Classification
/ Cluster analysis
/ Color
/ Color vision
/ Comparative analysis
/ custom wardrobe
/ Data analysis
/ decorative paper
/ Design
/ Design analysis
/ Design factors
/ Factor analysis
/ feature extraction
/ Furniture
/ Image analysis
/ Image processing
/ Linear algebra
/ Methods
/ Random variables
/ Saturation (color)
/ Semantics
/ Surface layers
/ Texture
/ Visual effects
/ Visual perception
2024
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Research on color and texture characteristics and visual perception of custom wardrobe finishes
by
Zhang, Jiale
, Chen, Yushu
in
3-D printers
/ Big Data
/ Brightness
/ Classification
/ Cluster analysis
/ Color
/ Color vision
/ Comparative analysis
/ custom wardrobe
/ Data analysis
/ decorative paper
/ Design
/ Design analysis
/ Design factors
/ Factor analysis
/ feature extraction
/ Furniture
/ Image analysis
/ Image processing
/ Linear algebra
/ Methods
/ Random variables
/ Saturation (color)
/ Semantics
/ Surface layers
/ Texture
/ Visual effects
/ Visual perception
2024
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Do you wish to request the book?
Research on color and texture characteristics and visual perception of custom wardrobe finishes
by
Zhang, Jiale
, Chen, Yushu
in
3-D printers
/ Big Data
/ Brightness
/ Classification
/ Cluster analysis
/ Color
/ Color vision
/ Comparative analysis
/ custom wardrobe
/ Data analysis
/ decorative paper
/ Design
/ Design analysis
/ Design factors
/ Factor analysis
/ feature extraction
/ Furniture
/ Image analysis
/ Image processing
/ Linear algebra
/ Methods
/ Random variables
/ Saturation (color)
/ Semantics
/ Surface layers
/ Texture
/ Visual effects
/ Visual perception
2024
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Research on color and texture characteristics and visual perception of custom wardrobe finishes
Journal Article
Research on color and texture characteristics and visual perception of custom wardrobe finishes
2024
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Overview
In recent years, the custom wardrobe market has been steadily developing. While meeting the functional needs of users, it is gradually shifting towards aesthetic preferences. Rapidly grasping users’ preferences for the appearance of custom wardrobes is a key focus of current research. This study collected a large number of decorative surface images of custom wardrobes and objectively analyzed the design features based on color moments and Tamura texture feature data in computer image analysis methods. K-means cluster analysis was performed on the feature data. Collected images of the points closest to the cluster centers were further screened to select representative finish images, and finally a questionnaire survey was conducted at Nanjing Forestry University, with the help of semantic differential method and factor analysis. The characteristics of the samples were comprehensively summarized to infer design elements. The study found that warm-toned, medium-low saturation, and medium brightness surfaces were preferred by the panel. Different colors, contrasts, saturations, brightness, element features, and arrangements have significantly different effects on visual perception. These conclusions can provide a reference for subsequent custom wardrobe design.
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