Table 3 Description of input features.
From: Estimating the phase volume fraction of multi-phase steel via unsupervised deep learning
| Â | Input feature | Symbol and description |
|---|---|---|
1 | Grain size | \({d}_{s}=2\times \sqrt{\frac{p\times {s}^{2}}{\pi }}\) |
2 | GAM | \(\mathrm{GAM}=\frac{{\sum }_{i}{KAM}_{i}}{p}\) |
3 | Std. of KAM | \({\sigma }_{KAM}, {KAM}_{(i,j)}=\frac{\sum {g}_{(i,j)}{g}_{(i+x,j+y)}^{-1}}{k}\) |
4 | GOS | \(\mathrm{GOS}=\frac{{\sum }_{i}{g}_{ave}{g}_{i}^{-1}}{p}\) |
5 | Solidity | \(S=\frac{{A}_{i}}{{A}_{c}}\) |
6 | Avg. of misorientations at the boundary | \({\mu }_{mis}\) |
7 | Aspect ratio | \(AR=\frac{w}{h}\) |
8 | Weighted avg. sharpness | \({\mu }_{sharp}=\frac{{\sum }_{i}{w}_{i}\times {sharpness}_{i}}{{\sum }_{i}{w}_{i}}, sharpness=\frac{D}{d}\) |
9 | Avg. band contrast in the grain | \({\mu }_{BC}=\frac{{I}_{max}-{I}_{min}}{{I}_{max}-{I}_{min}}\) |
10 | Std. of band contrast within the grain | \({\sigma }_{BC}\) |
11 | Area weighted avg. grain size of neighbor grains surrounding the current grain | \({\mu }_{GS}\) |
12 | Area weighted avg. GAM of neighbor grains surrounding the current grain | \({\mu }_{GAM}\) |
13 | Area weighted avg. std. of GAM of neighbor grains surrounding the current grain | \({\mu }_{\sigma GAM}\) |
14 | Area weighted avg. GOS of neighbor grains surrounding | \({\mu }_{GOS}\) |
15 | Area weighted avg. aspect ratio of neighbor grains surrounding | \({\mu }_{AR}\) |
16 | Area weighted avg. band contrast of neighbor grains surrounding | \({\mu }_{nBC}\) |
17 | Area weighted avg. std. of band contrast of neighbor grains surrounding | \({\mu }_{\sigma nBC}\) |
18 | Area weighted avg. solidity of neighbor grains surrounding | \({\mu }_{S}\) |
19 | Area weighted avg. sharpness of neighbor grains surrounding | \({\mu }_{nS}\) |
