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This paper proposes an efficient way to effectively segment malignant melanoma in color dermoscopy images. A combination of methods are used in the proposed technique, including smoothing filters, PSNR, Spline, edge detection, morphological operations and segmentation. The pre-processing step eliminates noise, smoothes the image and employs the spline function to improve edge detection, while morphological...
Boundary roughness of skin lesions is of clinical significance for early detection of malignant melanomas. An integrated approach of local fractals and multi-level wavelet analysis is proposed in the paper. Local fractal profile of a lesion contour is generated to describe boundary roughness while a tree structured wavelet packet is further processed to give behaviors of the local fractals at different...
The accurate location of the border of skin lesions is an important first step in the automatic diagnosis of malignant melanoma. In this paper, we propose a new method of segmentation to locate the skin lesion. The method consists of two stages; image pre-processing and image segmentation. As the first step of image analysis, pre-processing techniques are implemented to remove noise and undesired...
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