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Kernel fuzzy clustering based classification of Ancient-Ceramic fragments
- Source :
- 2010 2nd IEEE International Conference on Information Management and Engineering.
- Publication Year :
- 2010
- Publisher :
- IEEE, 2010.
-
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.
- Subjects :
- Fuzzy clustering
business.industry
Single-linkage clustering
Correlation clustering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
computer.software_genre
ComputingMethodologies_PATTERNRECOGNITION
Data stream clustering
CURE data clustering algorithm
Canopy clustering algorithm
FLAME clustering
Data mining
Artificial intelligence
business
Cluster analysis
computer
ComputingMethodologies_COMPUTERGRAPHICS
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2010 2nd IEEE International Conference on Information Management and Engineering
- Accession number :
- edsair.doi...........594d2e427b3641c9e6466cf8efc84e43