Table 11 Eigen values and its principal component contributions.

From: Image-processing-based model for surface roughness evaluation in titanium based alloys using dual tree complex wavelet transform and radial basis function neural networks

Principal component

Eigen values

Variance (%)

Autocorrelation

9.1090

60.7264

Contrast

3.7143

24.7621

Correlation

1.5485

10.3236

Cluster prominence

0.4368

2.9118

Dissimilarity

0.1194

0.7961

Energy or uniformity

0.0296

0.1971

Entropy

0.0193

0.1286

Homogeneity

0.0116

0.0770

Maximum probability

0.0065

0.0431

Sum of squares

0.0025

0.0165

Sum average

0.0012

0.0082

Sum variance

0.0010

0.0065

Sum entropy

0.0004

0.0026

Difference variance

0.0001

0.0004

Difference entropy

0

0

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