A novel algorithm for extraction of the scripts part in traditional Chinese painting images

Author

Bao, Hong ; Liang, Ye ; Liu, Hong-Zhe ; Xu, De

Author_Institution

Beijing Jiaotong Univ., Beijing, China

Volume

2

fYear

2010

fDate

3-5 Oct. 2010

Abstract

Traditional Chinese painting is a unique form of art and highly regarded for its theory, expression and techniques throughout the world. A traditional Chinese painting is composed of three parts: the mainbody part, the seals part and scripts part. These three parts have many semantics. So extraction of them is important and urgent task. However, popular image processing techniques have little been used in this specific domain. In this paper, a novel algorithm for extraction the scripts part of traditional Chinese painting images is proposed, including the motivations of the algorithm, the description of the algorithm, experiment results and its analysis. This algorithm is mainly based on color and structure feature of Chinese characters in the scripts part of traditional Chinese painting images. The algorithm is simple but has satisfactory efficiency.

Keywords

art; feature extraction; ontologies (artificial intelligence); Chinese characters; art; color; image processing techniques; mainbody part; script extraction; scripts part; seals part; semantics; structure feature; traditional Chinese painting images; Algorithm design and analysis; Art; Classification algorithms; Image color analysis; Painting; Pixel; Semantics; Semantics of image; feature extraction; traditional Chinese painting images;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Technology and Engineering (ICSTE), 2010 2nd International Conference on

Conference_Location

San Juan, PR

Print_ISBN

978-1-4244-8667-0

Electronic_ISBN

978-1-4244-8666-3

Type

conf

DOI

10.1109/ICSTE.2010.5608756

Filename

5608756