DocumentCode
2832719
Title
Image segmentation using spectral clustering
Author
Chongjun, Wang ; Jun, Li Wu ; Lin, Ding ; Juan, Tian ; Shifu, Chen
Author_Institution
Nat. Key Lab. for Novel Software Technol., Nanjing Univ.
fYear
2005
fDate
16-16 Nov. 2005
Lastpage
678
Abstract
This paper focuses on how to automatically determine the suitable clustering number in image segmentation and designs an algorithm of CANA using spectral clustering. Experiment results indicate that ACNA can provide superior performance. An application sample in image punching is introduced
Keywords
image segmentation; pattern clustering; spectral analysis; image segmentation; spectral clustering; Algorithm design and analysis; Application software; Clustering algorithms; Clustering methods; Eigenvalues and eigenfunctions; Image segmentation; Laboratories; Punching; Software algorithms; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1082-3409
Print_ISBN
0-7695-2488-5
Type
conf
DOI
10.1109/ICTAI.2005.74
Filename
1563014
Link To Document