Gabor_Features_Extraction

  A Gabor-filtering method for describing textural features is proposed, which applies the physical properties of a probability wave to probability transformation, and computes textural features 2) An adaptive strategy for feature and filter selection, and feature weighting, is proposed, which utilizes a user’s relevance feedback to reduce the redundancy in the representation and incorporate the user’s information needs in image retri 3) Integrating both schemes (the Gabor-filtering method and the adaptive strategy) for content-based mammogram retri is suggested