Example 10: Bidimensional Fuzzy Entropy

Import an image of a Mandelbrot fractal as a matrix.

X = ExampleData("mandelbrot_Mat");

using Plots
heatmap(X, background_color="black")

Calculate the bidimensional fuzzy entropy in trits (logarithm base 3) with a template matrix of size [8 x 5], and a time delay (tau) of 2 using a 'linear' fuzzy function with distances linearly normalised to the range [0, 1].

\[f(x) = exp(-\frac{x - x_{min}}{x_{max} - x_{min}})\]

FE2D = FuzzEn2D(X, m = (8, 5), tau = 2, Fx = "linear", r = 0, Logx = 3)

0.0015909286623635415