Research on color matching model for wood panel furniture based on a back propagation neural network

The wood furniture manufacturing industry continues in the direction of customized furniture. The analysis of color collocation is important for developing customized furniture. This study summarizes the common color collocation application area for porch cabinets. After selecting the appropriate co...

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Vydáno v:Bioresources Ročník 19; číslo 2; s. 2383 - 2403
Hlavní autoři: Chen, Yushu, Bian, Jun
Médium: Journal Article
Jazyk:angličtina
Vydáno: Raleigh North Carolina State University 01.05.2024
Témata:
Back propagation
Back propagation networks
bp neural network
Collocation
Color
Color matching
color matching model
Competitive advantage
Composite materials
Consumers
Customization
customized furniture
Efficiency
Furniture industry
Industrial development
Manufacturing
Manufacturing industry
Neural networks
Product lines
Programming languages
R&D
Research & development
Saturation (color)
Visual perception
wood panel furniture
ISSN:1930-2126, 1930-2126
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Shrnutí:The wood furniture manufacturing industry continues in the direction of customized furniture. The analysis of color collocation is important for developing customized furniture. This study summarizes the common color collocation application area for porch cabinets. After selecting the appropriate color model, C # language was used to simulate a real scene setting experimental system in the Unity graphics engine. Colors were generated randomly in the corresponding area, and subjects evaluated the harmony. Then, the Python language was used to build the BP neural network model. The BP neural network models were trained using the Hue, Saturation, value (HSV) of the depicted colors and their corresponding scores. Finally, the evaluation model of color collocation and harmony was obtained. The model can be used to improve the prediction of color matching in customized furniture, which will promote enterprise productivity and industry development.
Bibliografie:ObjectType-Article-1
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ISSN:1930-2126
1930-2126
DOI:10.15376/biores.19.2.2383-2403