Box-Counting Method for Fractal Analysis of Images
The box-counting method for fractal analysis of images is highly practical and can be directly implemented for various applications.
Calculation of the Critical Hurst Exponent for Fractal Analysis
Implementation program for computing the Hurst exponent - a vital metric in fractal analysis - including two sample sequences with Hurst values of 0.7 and 0.8 for validation and demonstration purposes
MATLAB Code Implementation for Multifractal Spectrum Calculation
MATLAB implementation for calculating multifractal spectrum with algorithm explanations
MATLAB Code Implementation for Calculating Hurst Exponent
MATLAB Implementation for Computing Hurst Exponent with Algorithm Explanations and Method Selection Guidelines
Classical GP Algorithm for Computing Correlation Dimension
Implementation and technical overview of the Grassberger-Procaccia algorithm for correlation dimension calculation in chaotic time series analysis
MATLAB Code Implementation for Multifractal Analysis Function
MATLAB Function Implementation for Multifractal Analysis with Code Optimization Techniques
Computing Box-Counting Dimension for 2D Images
Calculate the box-counting dimension of 2D images with algorithmic implementation details