A New Decision Fusion Technique for Image Classification

Ozay M., Vural F. T. Y.

16th IEEE International Conference on Image Processing, Cairo, Mısır, 7 - 10 Kasım 2009, ss.2189-2192 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/icip.2009.5413846
  • Basıldığı Şehir: Cairo
  • Basıldığı Ülke: Mısır
  • Sayfa Sayıları: ss.2189-2192
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

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.