Title | ||
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New unsupervised hybrid classifier based on the fuzzy integral: applied to natural textured images |
Abstract | ||
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This study presents a new unsupervised hybrid classifier for natural texture identification in aerial images. The proposed strategy combines through the fuzzy integral (FI) six well-tested base supervised classifiers. This automation is based on the generation of a general rule inferred through decision tree learning, ID3 strategy from the training data. This rule allows generation of a partition of the set of images that the base classifiers use to estimate automatically their parameters. These parameters are the inputs to calculate the relative importance of each classifier in their combination by the FI. The resulting classifier has been compared with related techniques getting an improvement of 8.04% average. The study includes discussion on this comparison. |
Year | DOI | Venue |
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2013 | 10.1049/iet-cvi.2011.0205 | IET Computer Vision |
Keywords | Field | DocType |
decision trees,fuzzy set theory,image classification,image texture,natural scenes,unsupervised learning,fi,id3 strategy,aerial image,automatic parameter estimation,base supervised classifier,decision tree learning,fuzzy integral,general rule,natural textured image identification,unsupervised hybrid classifier | Computer vision,Margin (machine learning),Pattern recognition,Computer science,Fuzzy logic,Aerial image,Artificial intelligence,ID3,Margin classifier,Classifier (linguistics),Decision tree learning,Quadratic classifier | Journal |
Volume | Issue | ISSN |
7 | 4 | 1751-9632 |
Citations | PageRank | References |
2 | 0.52 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
María Guijarro | 1 | 49 | 5.79 |
ruben fuentesfernandez | 2 | 2 | 0.52 |
P. Javier Herrera | 3 | 25 | 4.80 |
alejandro ribeiro | 4 | 2 | 0.52 |
Gonzalo Pajares | 5 | 699 | 57.18 |