Computer vision analysis of 之 knotting patterns in the Chinese calligraphy work The Orchid Pavilion

Abstract This study examines the character "之" in the Preface of Shenlongben. We use a clear data image from The Orchid Pavilion to quantify its features through computer vision techniques such as Fraclab box counting, edge detection, and K-means cluster analysis. This study looks at the character "之" in The Orchid Pavilion using correlation analysis and other methods. It investigates the variations in the different forms of the same character, the proportional scale of its structure, the equilibrium of positive and negative space, and the interplay between the virtual and real dimensions. Additionally, it analyzes the configuration of the character and its spatial representation 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 create a new way of passing down, improving, and growing the art of calligraphy.