An improved image segmentation method for melasma severity assessment

@article{Liang2017AnII,
  title={An improved image segmentation method for melasma severity assessment},
  author={Yunfeng Liang and Zhiping Lin and Lei Sun and Wee Ser and Feng Lin and Steven Tien Guan Thng},
  journal={2017 22nd International Conference on Digital Signal Processing (DSP)},
  year={2017},
  pages={1-5}
}
Melasma is a widely spread skin pigmentation disease and accurate assessments of the disease severity is crucial during its treatment. Recently, several computerized methods have been developed to overcome the shortcomings of the conventional clinical assessment method. As a key step in algorithm, image segmentation has extensive impacts on the accuracy of… CONTINUE READING