RT Book, Section
T1 A divisive hierarchical k-means based algorithm for image segmentation
A1 Martín H., José Antonio
A1 Montero De Juan, Francisco Javier
A1 Gómez González, Daniel
AB In this paper we present a divisive hierarchical method for the analysis and segmentation of visual images. The proposed method is based on the use of the k-means method embedded in a recursive algorithm to obtain a clustering at each node of the hierarchy. The recursive algorithm determines automatically at each node a good estimate of the parameter k (the number of clusters in the k-means algorithm) based on relevant statistics. We have made several experiments with different kinds of images obtaining encouraging results showing that the method can be used effectively not only for automatic image segmentation but also for image analysis and, even more, data mining.
PB IEEE
SN 978-1-4244-6791-4
YR 2010
FD 2010
LK https://hdl.handle.net/20.500.14352/45547
UL https://hdl.handle.net/20.500.14352/45547
LA eng
NO H., M.J.A., Montero, J., Yanez, J., Gomez, D.: A divisive hierarchical k-means based algorithm for image segmentation. En: 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering. pp. 300-304. IEEE, Hangzhou (2010)
DS Docta Complutense
RD 15 dic 2025