Computer vision analysis of 之 knotting patterns in the Chinese calligraphy work The Orchid Pavilion
Source abstract
Abstract
This study is based on high-resolution image data of the character “之” in The Orchid Pavilion of Shenlongben. Using computer vision technologies such as Fraclab box counting and K-means cluster analysis, we conducted a quantitative analysis of its characteristics. It investigates the variations in the different forms of the same character, the proportional scale of its structure, and the equilibrium of black and white space. Additionally, it analyzes the morphological evolution of character space to seek a rational understanding of traditional calligraphy. The goal is to suggest a useful way to measure the rules of Chinese calligraphy. This exercise will pioneer a new approach to preserving and promoting the art of calligraphy and will provide important reference for interdisciplinary research in the fields of digital cultural heritage and computational aesthetics.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Aesthetic Perception and Analysis · Advanced Technology in Applications · Color perception and design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (32)
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