Kernel fuzzy clustering based classification of Ancient-Ceramic fragments

Author

Li-Ying, Qi ; Ke-Gang, Wang

Author_Institution

Dept. of Math., AnKang Univ., Ankang, China

fYear

2010

fDate

16-18 April 2010

Firstpage

348

Lastpage

350

Abstract

In this paper, we propose a method for automatic classifying fragments in computer-aided restoration of ceramic cultural relics, using surface texture clustering. Firstly, center of clustering will be initialized by re-division on multi-variant finite model. Then kernel-based fuzzy clustering algorithm is applied and parameters of difference degree are used to control iterations of clustering. The experiment result shows that this scheme is characterized by better automatic classifying rate for Ancient-Ceramic fragments.

Keywords

ceramics; feature extraction; fuzzy set theory; humanities; image classification; image texture; pattern clustering; ancient-ceramic fragment classification; automatic fragment classification; ceramic cultural relics; computer-aided restoration; kernel fuzzy clustering; kernel-based fuzzy clustering algorithm; multivariant finite model; surface texture clustering; Automatic control; Ceramics; Clustering algorithms; Cultural differences; Data engineering; Fuzzy control; Image restoration; Kernel; Support vector machines; Surface texture; Ancient ceramic; Classification; Kernel Fuzzy Clustering; Texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5263-7

Electronic_ISBN

978-1-4244-5265-1

Type

conf

DOI

10.1109/ICIME.2010.5477818

Filename

5477818