Deep learning and entropy-based texture features for color image classification

HIGHLIGHTS

• who: Emma Lhermitte and collaborators from the Univ Angers, LARIS, SFR MATHSTIC, Angers, France have published the research work: Deep Learning and Entropy-Based Texture Features for Color Image Classification, in the Journal: Entropy 2022, 24, 1577. of /2022/
• what: The authors compare the results of this new approach with those obtained from several deep learning methods. The entropy-based method for RGB that the authors propose leads to promising results. The authors propose to study texture for color images through two approaches: the first one is a hand-crafted feature extraction method; the second . . .
  

   

  

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