Sample Entropy Signatures: A new way to interpret SampEn values[Formula presented]
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We present the Sample Entropy Signatures method, which provides a new way to represent images via Sample entropy (SampEn). The proposed method defines texture signatures from multiple SampEn values obtained from combinations of the parameters m and r. Here, m signatures were determined (m ranging from 1 to 4), with r points each (r ranging from 0.06 to 0.4), and the behavior of each signature was determined by the metrics: area under the curve, skewness, maximum entropy value, and area ratio. This approach aimed to improve the quantitative capacity of SampEn and provide a new interpretation of its values.
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Feature extraction, Pattern recognition, SampEn signatures, Sample entropy, Signature metrics, Texture signatures
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Inglês
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Software Impacts, v. 13.
