Gabor Kernels for Textured Image Representation and Classification

  • Hugo Hidalgo-Silva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)


A Gabor based representation for textured images is proposed. Instead of the ordinary filter bank, a reproducing kernel representation is constructed consisting of a sum of several local reproducing kernels. The image representation coefficients are computed by a basis pursuit procedure, and are then considered as the feature vectors. The feature vectors are used to construct a kernel for a support vector classifier. Results are presented for a set of oriented texture images.


Feature Vector Texture Image Image Representation Reproduce Kernel Hilbert Space Kernel Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hugo Hidalgo-Silva
    • 1
  1. 1.CICESE-Ciencias de la ComputaciónEnsenadaMéxico

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