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Table 3.

Results from the tests performed on synthetic images.

Subset Calibration CLV compensation Segmentation Differences R

Max abs. Mean abs. RMS
1 Our method Our method NR 0.003 0.001 0.001 0.999
Uncalibrated Our method NR 0.008 0.002 0.002 0.997
Uncalibrated Imposed CLV NR 0.010 0.003 0.004 0.998
Uncalibrated Priyal et al. (2014) NR 0.010 0.002 0.003 0.998
Uncalibrated Worden et al. (1998) NR 0.034 0.006 0.008 0.981
Uncalibrated Imposed CLV Bertello et al. (2010) 0.011 0.002 0.003 0.983
Uncalibrated Imposed CLV Chatterjee et al. (2016) 0.039 0.008 0.012 0.955

6 Our method Our method NR 0.029 0.003 0.005 0.942
Uncalibrated Our method NR 0.026 0.004 0.006 0.927
Uncalibrated Imposed CLV NR 0.016 0.004 0.006 0.979
Uncalibrated Priyal et al. (2014) NR 0.704 0.014 0.030 0.186
Uncalibrated Worden et al. (1998) NR 0.037 0.008 0.011 0.890
Uncalibrated Imposed CLV Bertello et al. (2010) 0.007 0.003 0.003 0.969
Uncalibrated Imposed CLV Chatterjee et al. (2016) 0.023 0.008 0.011 0.953

8 Our method Our method NR 0.025 0.001 0.002 0.989
Uncalibrated Our method NR 0.034 0.002 0.003 0.993
Uncalibrated Imposed CLV NR 0.044 0.003 0.004 0.993
Uncalibrated Priyal et al. (2014) NR 0.755 0.008 0.026 0.300
Uncalibrated Worden et al. (1998) NR 0.035 0.006 0.009 0.972
Uncalibrated Imposed CLV Bertello et al. (2010) 0.219 0.005 0.009 0.801
Uncalibrated Imposed CLV Chatterjee et al. (2016) 0.046 0.007 0.011 0.937
Priyal et al. (2014) Imposed CLV NR 0.038 0.001 0.002 0.992
Priyal et al. (2014) Priyal et al. (2014) NR 0.751 0.007 0.021 0.434

Notes. Columns are synthetic subset ID number, calibration, CLV compensation, and segmentation methods applied on the data, maximum absolute differences, mean absolute differences, RMS differences, and the Pearson coefficient between the disc fractions calculated in each case and those derived from the original Rome/PSPT images.

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