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For the dermoscopy image, uneven illumination will influence segmentation accuracy and lead to wrong aided diagnosis result. In this paper, a no reference uneven illumination assessment metric is proposed for dermoscopy images. Firstly, the distorted image is decomposed to illumination and reflectance components through variational framework for Retinex(More)
The accuracy of automatic skin lesion detection is important in the computer-aided diagnosis (CAD) of skin cancers. In this paper, a novel method of automatic skin lesion segmentation to get the accurate border is proposed. The initial lesion is extracted by the Otsu's threshold firstly. Secondly, the outer peripheral region around the initial lesion is(More)
Segmentation accuracy of dermoscopy images is important in the computer-aided diagnosis of skin cancer and a wide variety of segmentation methods for dermoscopy images have been developed. Considering that each method has its strengths and weaknesses, a novel adaptive segmentation framework based on multi-classification model is proposed for dermoscopy(More)
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