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Skin lesion segmentation is one of the first steps towards automaticComputer-Aided Diagnosis of skin cancer. Vast variety in the appearance of theskin lesion makes this task very challenging. The contribution of this paper isto apply a power foreground extraction technique called GrabCut for automaticskin lesion segmentation with minimal human interaction in HSV color space.Preprocessing was performed for removing the outer black border. Jaccard Indexwas measured to evaluate the performance of the segmentation method. Onaverage, 0.71 Jaccard Index was achieved on 1000 images from ISIC challenge2017 Training Dataset.

Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour Space