RT Book, Section
T1 Performance analysis of fuzzy aggregation operations for combining classifiers for natural textures in images
A1 Cruz García, Jesús Manuel de la
A1 Guijarro Mata-García, María
A1 Pajares Martínsanz, Gonzalo
A1 Herrera Caro, Pedro Javier
AB One objective for classifying pixels belonging to specific textures in natural images is to achieve the best performance in classification as possible. We propose a new unsupervised hybrid classifier. The base classifiers for hybridization are the Fuzzy Clustering and the parametric Bayesian, both supervised and selected by their well-tested performance, as reported in the literature. During the training phase we estimate the parameters of each classifier. During the decision phase we apply fuzzy aggregation operators for making the hybridization. The design of the unsupervised classifier from supervised base classifiers and the automatic computation of the final decision with fuzzy aggregation operations, make the main contributions of this paper.
PB Springer-Verlag Berlín
SN 978-3-642-21221-5
YR 2011
FD 2011
LK https://hdl.handle.net/20.500.14352/45466
UL https://hdl.handle.net/20.500.14352/45466
LA eng
NO © Springer-Verlag Berlin Heidelberg 2011.International Conference on Hybrid Artificial Intelligence Systems (HAIS 2011) (6th. May 23-25, 2011. Wroclaw, Polonia). Partial funding has also been received from DPI2009-14552-C02-01 project, supported by the Ministerio de Educación y Ciencia of Spain within the Plan Nacional de I+D+i.
NO Ministerio de Educación y Ciencia of Spain
NO Plan Nacional de I+D+i
DS Docta Complutense
RD 8 abr 2025