DocumentCode
2334952
Title
Contiguity-constrained hierarchical clustering for image segmentation
Author
Morales, Eduardo R Concepcion ; Mendizabal, Yosu Yurramendi
Author_Institution
Fac. of Inf., Univ. of Cienfuegos, Cienfuegos, Cuba
fYear
2010
fDate
7-10 July 2010
Firstpage
279
Lastpage
283
Abstract
Traditional clustering methods do not take into account any relations possibly present in data. This paper introduces a contiguity-constrained algorithm with an aggregation index which uses neighbouring relations present in the data. Experiments show the behaviour of the proposed method in the case of medical image segmentation.
Keywords
biomedical MRI; image segmentation; medical image processing; pattern clustering; aggregation index; contiguity-constrained hierarchical clustering; medical image segmentation; neighbouring relations; Clustering algorithms; Image segmentation; Indexes; Magnetic resonance imaging; Manuals; Partitioning algorithms; Pixel; Constrained hierarchical clustering; Image processing applications; Image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing Theory Tools and Applications (IPTA), 2010 2nd International Conference on
Conference_Location
Paris
ISSN
2154-5111
Print_ISBN
978-1-4244-7247-5
Type
conf
DOI
10.1109/IPTA.2010.5586724
Filename
5586724
Link To Document