A New Decision Fusion Technique for Image Classification

Date

2009-11-10

Author

Ozay, Mete
Vural, Fatos Tunay Yarman

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In this study, we introduce a new image classification technique using decision fusion. The proposed technique, called Meta-Fuzzified Yield Value.(Meta-FYV), is based on two-layer Stacked Generalization (SG) architecture [1]. At the base-layer, the system, receives a set of feature vectors of various dimensions and dynamical ranges and outputs hypotheses through fuzzy transformations. Then, the hypotheses created by the base layer transformations are concatenated for building a regression equation at meta-layer.

URI

https://hdl.handle.net/11511/66090

DOI

https://doi.org/10.1109/icip.2009.5413846

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

M. Ozay and F. T. Y. Vural, “A New Decision Fusion Technique for Image Classification,” 2009, p. 2189, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66090.