Analysis of skin lesions with pigmented networks
نویسندگان
چکیده
This paper deals with image processing for automatic analysis of pigmented skin lesions. A special emphasis is put on pigmented networks in epiluminescence microscopy (ELM) images. The purpose of processing images with pigmented skin lesions is the visualisation for education and training as well as for diagnosis support. We use a colour based segmentation applied to the Karhunen-Lo eve transform of the RGB colour vectors to separate pigmented lesions from the skin and proceed with histogram equalisation and greyscale morphology to enhance and lter the pigmented networks. We demonstrate that we can enhance pigmented networks in skin lesions visually, and make them accessible to further analysis and classiication.
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