Outline

Ingegneria Sismica

Ingegneria Sismica

Pattern Extraction of Ming and Qing Dynasty Furniture Based on Image Processing and Feature Extraction Algorithm with Application to New Chinese Furniture Designs

Author(s): Jiao Chen1, Dong Wang2, Man Li3
1School of Architectural Engineering, Kaili University, Qiandongnan 556011, Guizhou, China
2College of Architecture and Urban Planning, Guizhou Institute of Technology, Guiyang 550025, Guizhou, China
3School of Art and Design, Kaili University, Qiandongnan 556011, Guizhou, China
Chen, Jiao., Wang, Dong., and Li, Man. “Pattern Extraction of Ming and Qing Dynasty Furniture Based on Image Processing and Feature Extraction Algorithm with Application to New Chinese Furniture Designs.” Ingegneria Sismica Volume 43 Issue 3: 1-19, doi:10.65102/is20261057.

Abstract

Furniture industry is not only the engine of economic development, but also an important carrier of cultural expression and social influence. In order to adapt the Ming and Qing furniture to the development needs of modern society, this paper proposes an intelligent Ming and Qing furniture pattern color and texture extraction method. Firstly, the Ming and Qing furniture patterns are preprocessed to eliminate the complex color distribution, data noise and texture in the Ming and Qing furniture patterns, and then the K-means algorithm is used as the basis for obtaining the best initial clustering center of the Ming and Qing furniture pattern colors through the lion group optimization to realize the main color clustering of the furniture. Subsequently, the relative total variance model texture smoothing and interactive image segmentation are applied to realize the extraction of the target grain pattern of Ming and Qing dynasty furniture, and the image binarization processing technique is adopted to retain the complete grain feature information. Experimental results show that the main colors of Ming and Qing furniture extracted under this paper’s method are black and navy blue, accounting for 37.6% and 18.2% respectively, and the difference of the same image feature values extracted by this paper’s pattern extraction method in different noise environments is less than 0.002. Tip New Chinese furniture design retains the sense of serenity and elegance of Ming and Qing Dynasty furniture design, and completes the design work of antiquity-appreciating innovation of new Chinese furniture design from three aspects: direct application, content extraction, and disassembly and reorganization.

Keywords
K-means lion group optimization; color extraction; pattern extraction; Ming and Qing furniture patterns; image binarization

Related Articles

Liqin Zheng1, Dongrui Qing2, Yan Zhang1
1School of Mathematics and Statistics, Shaan Xi Xue Qian Normal University Xi’an 710100, P.R.China
2School of Marxism, Xi’an University of Finance and Economics Xi’an 710100, P.R.China
Yanan Gao1, Aiqun Peng2, Nina Ma2
1Management School of Anhui Business and Technology College Hefei 230000, Anhui, China
2Economics and Trade School of Anhui Business and Technology College Hefei 230000, Anhui, China
Ya’ning Liu1, Ping Ma1
1School of Teacher Education, Shihezi University, Shihezi, Xinjiang, 832000, China
Yuhui Li1, Zhongliang Gong1
1College of Mechanical and Intelligent Manufacturing, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
Hanqing Hu1, Chengjin Liu1, Tianmu Tian1
1School of Management Science and Engineering, Beijing Information Science & Technology University, Beijing 100192