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Article Dans Une Revue Pattern Recognition Letters Année : 2022

Texture analysis using two-dimensional permutation entropy and amplitude-aware permutation entropy

Résumé

Entropy algorithms have been applied extensively for time series analysis. The entropy value given by the algorithm quantifies the irregularity of the data structure. For higher irregular data structures, the entropy is higher. Both permutation entropy (PE) and amplitude-aware permutation entropy (AAPE) have been previously used to analyze time series. These two metrics have the advantage, over others, of being computationally fast and simple. However, fewer entropy measures have been proposed to process images.
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hal-03687378 , version 1 (23-01-2024)

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Paternité - Pas d'utilisation commerciale - Pas de modification

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Citer

Andreia Gaudêncio, Mirvana Hilal, João Cardoso, Anne Humeau-Heurtier, Pedro Vaz. Texture analysis using two-dimensional permutation entropy and amplitude-aware permutation entropy. Pattern Recognition Letters, 2022, 159, pp.150-156. ⟨10.1016/j.patrec.2022.05.017⟩. ⟨hal-03687378⟩
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