Research on Children's Illustration Color Matching Perception Based on Clustering Algorithm and Color Network
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Wiley Open Access
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| Natura: | Artículo Open Access |
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Wiley
2026
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| _version_ | 1867004026589020160 |
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| author | Yitong Rong Zhizhong Ding Wenbin Gu |
| author_facet | Yitong Rong Zhizhong Ding Wenbin Gu Yitong Rong Zhizhong Ding Wenbin Gu |
| collection | Wiley Open Access |
| contents | Research on Children's Illustration Color Matching Perception Based on Clustering Algorithm and Color Network Yitong Rong Zhizhong Ding Wenbin Gu Color Research & Application ABSTRACT Color expression in children's illustrations plays a vital role in the display. Children can enjoy the colors and experience the emotion conveyed by the illustration theme through their perception of color. Based on the K‐means clustering algorithm and color network, this paper analyzed color clustering of children's illustration samples with the theme of “Spring” and constructed a color network model for these samples. Using the semantic difference method and Likert scale, a semantic division questionnaire was developed to derive representative vocabulary for the illustration samples. The color systems obtained from clustering were then matched with the representative vocabulary to form a color perceptual analysis questionnaire. Through factor analysis, typical vocabularies were identified, and corresponding color systems were created as experimental illustration samples. This paper explores the expressive forms of color systems under different vocabularies and verifies the feasibility and reliability of the experimental illustration samples within the target group, thereby providing new directions and references for color design and color education in children's illustrations. 10.1002/col.70039 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1002/col.70039 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_col_70039 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2026 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Research on Children's Illustration Color Matching Perception Based on Clustering Algorithm and Color Network Yitong Rong Zhizhong Ding Wenbin Gu Color Research & Application Research on Children's Illustration Color Matching Perception Based on Clustering Algorithm and Color Network Yitong Rong Zhizhong Ding Wenbin Gu Color Research & Application ABSTRACT Color expression in children's illustrations plays a vital role in the display. Children can enjoy the colors and experience the emotion conveyed by the illustration theme through their perception of color. Based on the K‐means clustering algorithm and color network, this paper analyzed color clustering of children's illustration samples with the theme of “Spring” and constructed a color network model for these samples. Using the semantic difference method and Likert scale, a semantic division questionnaire was developed to derive representative vocabulary for the illustration samples. The color systems obtained from clustering were then matched with the representative vocabulary to form a color perceptual analysis questionnaire. Through factor analysis, typical vocabularies were identified, and corresponding color systems were created as experimental illustration samples. This paper explores the expressive forms of color systems under different vocabularies and verifies the feasibility and reliability of the experimental illustration samples within the target group, thereby providing new directions and references for color design and color education in children's illustrations. 10.1002/col.70039 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | Research on Children's Illustration Color Matching Perception Based on Clustering Algorithm and Color Network |
| topic | Color Research & Application |
| url | https://onlinelibrary.wiley.com/doi/10.1002/col.70039 |