Image_diversity

calculate image color diversity by fractal dimension using box-counting method

Library

• numpy
• opencv
• matplotlib.pyplot
• collections Counter
• scipy.optimize curve_fit

How to use

You can use module like this

• image_diversity(image_path, fractal_dimension(default = 5 => 2^5), e_ne_graph(default = false), fractal_graph(default = false))
• ex) image_diversity('./Lenna.png', 5, e_ne_graph=True, fractal_graph=True)

Result

This function will return (Image_diversity, Number of Boxes, Completion_time)

• Image_diversity : The higher value means more diverse image
• ex) image_diversity('./Lenna.png', 5, e_ne_graph=True, fractal_graph=True) - > (1.8258348160993132, [37270, 19535, 6572, 1557, 335, 81], 3.2434229850769043)

return graphs

1. e_ne_graph
   

2. fractal_graph