Automatic Skin Lesion Segmentation Based on Texture Analysis and Supervised Learning

@inproceedings{He2012AutomaticSL,
  title={Automatic Skin Lesion Segmentation Based on Texture Analysis and Supervised Learning},
  author={Yingding He and Fengying Xie},
  booktitle={ACCV},
  year={2012}
}
Automatic skin lesion detection is a key step in computeraided diagnosis (CAD) of Skin cancers, since the accuracy of the subsequent steps in CAD crucially depends on it. In this paper, a novel method of automatic skin lesion segmentation based on texture analysis and supervised learning is proposed. It firstly involve the clustering of training image into homogeneous regions using Mean-shift; then fusion texture feature are extracted from each clustered region based on Gabor and GLCM feature… CONTINUE READING
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