A New Decision Fusion Technique for Image Classification


Ozay M., Vural F. T. Y.

16th IEEE International Conference on Image Processing, Cairo, Egypt, 7 - 10 November 2009, pp.2189-2192 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/icip.2009.5413846
  • City: Cairo
  • Country: Egypt
  • Page Numbers: pp.2189-2192

Abstract

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.