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  4. Vol 8, Issue 1, 2025

Quantitative Analysis of Line and Ink Features in Traditional Chinese Painting Based on Principal Component Analysis: A Case Study of Qi Baishi's Shrimp Paintings

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DOI: 10.23977/jipta.2025.080119 | Downloads: 7 | Views: 84

Author(s)

Yida Wu 1

Affiliation(s)

1 Jinan Foreign Language School International Center, 3399 Jinyu Avenue, Licheng District, Jinan, Shandong Province, China

Corresponding Author

Yida Wu

ABSTRACT

Focusing on Qi Baishi's late-period shrimp paintings, this study integrates image processing with statistical analysis to construct a quantitative model of line and ink characteristics. High-resolution digital images were first compiled and processed through grayscale conversion, adaptive thresholding, and edge detection to extract line details, while HSV color-space analysis captured the hierarchical distribution of ink tones. After separating features and structuring them into matrices, principal component analysis (PCA) and non-negative matrix factorization (NMF) were applied to reduce dimensionality and reveal the dominant roles of line dynamics and ink gradation in stylistic expression. Clustering results show that Qi's shrimp works combine concise brushwork with varied ink layers, exemplifying the artistic principle of "achieving more with less." This research provides a new quantitative pathway for studying traditional painting styles and offers methodological references for computational art cognition and digital humanities.

KEYWORDS

Traditional Chinese Painting; Color; Line; Principal Component Analysis; Non-Negative Matrix Factorization

CITE THIS PAPER

Yida Wu, Quantitative Analysis of Line and Ink Features in Traditional Chinese Painting Based on Principal Component Analysis: A Case Study of Qi Baishi's Shrimp Paintings. Journal of Image Processing Theory and Applications (2025) Vol. 8: 158-169. DOI: http://dx.doi.org/10.23977/jipta.2025.080119.

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