Nowadays, there is a wide variety of computational techniques for the processing of digital
images that can be applied to a wide range of fields, such as industry, commerce, education
and the field of medicine. Highlighting with great importance, the field of medicine, which
through the analysis of digital images, some diseases that are difficult to detect and identify
can be diagnosed and treated properly. Among the diagnosed diseases, the skin lesions are
the most disturbing representative of cutaneous melanoma. Because melanoma presents
difficult identification when compared to other skin lesions or nevus (moles), technologies
based on digital imaging techniques may be used to characterize the disease. In this work
a digital image segmentation method is applied for the detection of melanoma skin cancer,
using the superpixel technique, based on the Simple Linear Iterative Clustering - SLIC
algorithm. The superpixel technique presents, as a basic characteristic, the grouping of
pixels in regions significantly similar, in which the characteristics of the study images will
be analyzed, which will facilitate the detection of skin lesions.
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