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Computer vision-based diagnosis systems have been widely used in dermatology, aiming at the early detection of skin cancer and more specifically the recognition of malignant melanoma tumor. This paper proposes a novel clustering technique for the characterization and categorization of pigmented skin lesions in dermatological images. Appropriate image processing techniques (i.e. segmentation, border...
In this paper, segmentation of textures using principle component analysis (PCA) fusion based Gray-Level Co-Occurrence Matrix (GLCM) features in image segmentation is presented. First, four of the most common Haralick's features are calculated. Second, we perform principal component analysis to convert the 4 features extracted data in to four principal components. Then, choose fused coefficient according...
Image segmentation is the first step towards image analysis and image understanding. However, most image segmentation algorithms require a priori knowledge of the number of partitions in the image to be segmented. This paper introduces a novel method for completely unsupervised image segmentation by using wavelet analysis and fuzzy Gustafson-Kessel (GK) algorithm. The proposed algorithm needs no predefined...
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