Title :
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
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;
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
DOI :
10.1109/ICIME.2010.5477818
