Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features

  title={Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features},
  author={Farhan Riaz and Ali Hassan and Saad Rehman and Usman Qamar},
  journal={IEEE Signal Processing Letters},
This letter introduces a novel approach to rotation and scale invariant texture classification. The proposed approach is based on Gabor filters that have the capability to collapse the filter responses according to the scale and orientation of the textures. These characteristics are exploited to first calculate the homogeneous texture of images followed by the rearrangement of features as a two-dimensional matrix (scale and orientation), where scaling and rotation of images correspond to… CONTINUE READING
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