Watershed segmentation of dermoscopy images using a watershed technique.

@article{Wang2010WatershedSO,
  title={Watershed segmentation of dermoscopy images using a watershed technique.},
  author={Hanzheng Wang and Xiaohe Chen and Randy H. Moss and R. Joe Stanley and William V. Stoecker and M. Emre Celebi and Thomas M. Szalapski and Joseph M. Malters and James M. Grichnik and Ashfaq A. Marghoob and Harold S. Rabinovitz and Scott W. Menzies},
  journal={Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging},
  year={2010},
  volume={16 3},
  pages={378-84}
}
BACKGROUND/PURPOSE Automatic lesion segmentation is an important part of computer-based image analysis of pigmented skin lesions. In this research, a watershed algorithm is developed and investigated for adequacy of skin lesion segmentation in dermoscopy images. METHODS Hair, black border and vignette removal methods are introduced as preprocessing steps. The flooding variant of the watershed segmentation algorithm was implemented with novel features adapted to this domain. An outer bounding… CONTINUE READING

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