Hair Removal (GAN)
Hair Removal benchmark using hairless samples from the PH2 database and the GAN-based deep neural network by Attia et al. to simulate hair on them.Method
Huang
Hair removal algorithm by Huang et al. Implementation provided by the authors. Huang, Adam, et al. "A robust hair segmentation and removal approach for clinical images of skin lesions." 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013.Results
Sample | Vifp | Uqi | Msssim | P hvs m | P hvs | Mse | Ssim | Psnr | Rmse |
---|---|---|---|---|---|---|---|---|---|
IMD006 | 0.976 | 0.999 | 0.933 | 34.007 | 33.210 | 33.481 | 0.810 | 32.883 | 5.786 |
IMD010 | 0.967 | 0.997 | 0.910 | 32.285 | 31.281 | 52.674 | 0.776 | 30.915 | 7.258 |
IMD017 | 0.973 | 0.997 | 0.948 | 33.817 | 32.863 | 35.611 | 0.826 | 32.615 | 5.967 |
IMD018 | 0.979 | 0.999 | 0.937 | 34.653 | 33.840 | 71.773 | 0.818 | 29.571 | 8.472 |
IMD019 | 0.965 | 0.998 | 0.908 | 29.355 | 28.568 | 71.582 | 0.786 | 29.583 | 8.461 |
IMD020 | 0.952 | 0.997 | 0.871 | 27.260 | 26.684 | 132.544 | 0.772 | 26.907 | 11.513 |
IMD030 | 0.973 | 0.999 | 0.937 | 30.082 | 29.320 | 57.620 | 0.816 | 30.525 | 7.591 |
IMD033 | 0.969 | 0.998 | 0.935 | 32.965 | 32.022 | 40.516 | 0.799 | 32.055 | 6.365 |
IMD044 | 0.932 | 0.991 | 0.847 | 27.709 | 27.125 | 110.178 | 0.695 | 27.710 | 10.497 |
IMD050 | 0.977 | 0.998 | 0.940 | 34.441 | 33.642 | 29.144 | 0.806 | 33.485 | 5.399 |
IMD061 | 0.961 | 0.997 | 0.934 | 29.582 | 28.495 | 125.806 | 0.801 | 27.134 | 11.216 |
IMD063 | 0.969 | 0.997 | 0.946 | 28.231 | 27.658 | 87.606 | 0.802 | 28.705 | 9.360 |
IMD075 | 0.966 | 0.995 | 0.911 | 26.170 | 25.612 | 122.341 | 0.765 | 27.255 | 11.061 |
Mean | 0.966 | 0.997 | 0.920 | 30.812 | 30.025 | 74.683 | 0.790 | 29.949 | 8.380 |