Classifying Images of Two-Dimensional Fractional Brownian Motion through Deep Learning and Its Applications
Two-dimensional fractional Brownian motion (2D FBM) is an effective model for describing natural scenes and medical images. Essentially, it is characterized by the Hurst exponent (<i>H</i>) or its corresponding fractal dimension (<i>D</i>). For optimal accuracy, we can use th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/2/803 |