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Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification | SpringerLink
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Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification

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Image Analysis and Recognition (ICIAR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12132))

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Abstract

This paper proposes a novel approach to compute information theory measures from Gaussian Markov Random Field (GMRF) for color texture classification task. We firstly transform the three color channels of the input image into three set of sub-bands of the form LL, HH, HL and LH using three Discret Wavelet Transforms. We then visualize each sub-band as a GMRF from which we generate features by computing Fisher information matrix and Shannon’s entropy to encode the local spatial dependency. The concatenation of the computed features are then used as the texture descriptor, which in turn is used as input for the classifiers referred to in this work. Experiments were performed with color texture images from public databases widely used in the literature that demonstrate the efficiency of the proposed method.

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Authors and Affiliations

  1. Department of Computer Science, Federal University of São Carlos, São Carlos, SP, Brazil

    Cédrick Bamba Nsimba & Alexandre L. M. Levada

Authors
  1. Cédrick Bamba Nsimba
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  2. Alexandre L. M. Levada
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Correspondence to Cédrick Bamba Nsimba .

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Editors and Affiliations

  1. University of Porto, Porto, Portugal

    Aurélio Campilho

  2. University of Waterloo, Waterloo, ON, Canada

    Fakhri Karray

  3. University of Waterloo, Waterloo, ON, Canada

    Zhou Wang

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Nsimba, C.B., Levada, A.L.M. (2020). Exploring Information Theory and Gaussian Markov Random Fields for Color Texture Classification. In: Campilho, A., Karray, F., Wang, Z. (eds) Image Analysis and Recognition. ICIAR 2020. Lecture Notes in Computer Science(), vol 12132. Springer, Cham. https://doi.org/10.1007/978-3-030-50516-5_12

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  • DOI: https://doi.org/10.1007/978-3-030-50516-5_12

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