Interactive genetic color matching design of cultural and creative products considering color image and visual aesthetics

To optimize the colors used in cultural and creative products, this paper proposes a color matching design method that considers the color image and visual aesthetics. First, 99 color samples are identified based on Chinese traditional colors, and user preferences for 30 image semantic terms are mea...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Heliyon Ročník 8; číslo 9; s. e10768
Hlavní autoři: Deng, Li, Zhou, Fangyuan, Zhang, Zhirui
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.09.2022
Elsevier
Témata:
aesthetics
algorithms
color
Color image
Color matching design
Cultural and creative products
factor analysis
Interactive genetic algorithm
mutation
quantitative analysis
uncertainty
Visual aesthetics
Visual aesthetics
Interactive genetic algorithm
Cultural and creative products
Color matching design
Color image
ISSN:2405-8440, 2405-8440
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:To optimize the colors used in cultural and creative products, this paper proposes a color matching design method that considers the color image and visual aesthetics. First, 99 color samples are identified based on Chinese traditional colors, and user preferences for 30 image semantic terms are measured by the semantic differential method. This leads to six color image factors being extracted by factor analysis. Second, quantitative analysis of the color visual aesthetics is applied, and formulas for calculating the harmony, balance, and symmetry are derived. On this basis, an interactive genetic algorithm is developed to promote and optimize the color scheme of cultural and creative products, and a fitness function based on subjective image evaluation and objective visual aesthetics is constructed. The subjective image evaluation adopts interval numbers, and a grayscale approach is used to measure the uncertainty of the subjective evaluation. Through grayscale analysis of the interval fitness values, information reflecting the evolutionary distribution of the population is extracted, before adaptive crossover and mutation probabilities are applied to the evolutionary individuals. Finally, the proposed method is verified through the example of color matching design for a speaker box. The results demonstrate that the proposed approach can effectively assist industrial designers. Color image; Visual aesthetics; Interactive genetic algorithm; Cultural and creative products; Color matching design.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2405-8440
2405-8440
DOI:10.1016/j.heliyon.2022.e10768