RT Journal Article
T1 Fuzzy Image Segmentation based upon Hierarchical Clustering
A1 Gómez González, Daniel
A1 Yáñez Gestoso, Francisco Javier
A1 Guada, Carely
A1 Rodríguez González, Juan Tinguaro
A1 Montero De Juan, Francisco Javier
AB In this paper we introduce the concept of Fuzzy Image Segmentation, providing an algorithm to build fuzzy boundaries based on the existing relations between the fuzzy boundary set problem and the (crisp) hierarchical image segmentation problem. In particular, since a crisp image segmentation can be characterized in terms of the set of edges that separates the adjacent regions of the segmentation, from these edges we introduce the concept of fuzzy image segmentation. Hence,each fuzzy image segmentation is characterized by means of a fuzzy set over the set of edges, which can be then understood as the fuzzy boundary of the image. Some computational experiences are included in order to show the obtained fuzzy boundaries of some digital images.
PB Elservier
SN 0950-7051
YR 2015
FD 2015
LK https://hdl.handle.net/20.500.14352/34827
UL https://hdl.handle.net/20.500.14352/34827
LA eng
NO Gómez, D., Yáñez, J., Guada, C., Tinguaro Rodríguez, J., Montero, J., Zarrazola, E.: Fuzzy image segmentation based upon hierarchical clustering. Knowledge-Based Systems. 87, 26-37 (2015). https://doi.org/10.1016/j.knosys.2015.07.017
NO Gobierno de España
NO Comunidad de Madrid
DS Docta Complutense
RD 8 abr 2025