Figure 1

Principal component analysis: Most variables that loaded heavily on the first principal component (entropy, mean gray value, gray value variance, and contrast pointing to opposite directions than kurtosis, correlation and inverse difference moment, while all loaded at a similar magnitude) explained 70.43% of the variation. The second principal component explained 11.45% of the variation and was heavily loaded by fractal dimension and lacunarity.