Skin melanoma segmentation by morphological approach

Authors:
Arlete Teresinha Beuren;Rodrigo Janasieivicz;Gomes Pinheiro;Neusa Grando;Jacques Facon
Affiliations:
Uniguaçu - Faesi Faculdade de Ensino Superior de São Miguel do Iguaçu Rua Valentim Celeste Palavro, Jardim Panorama, São Miguel do Iguaçu, Paraná, Brazil;Photograph Rua Alberto Folloni, Curitiba,Paraná, Brazil;Photograph Rua Alberto Folloni, Curitiba,Paraná, Brazil;Universidade Tuiuti do Paraná, Rua Sydnei A Rangel Santos, Curitiba-Pr, Brazil;Pontifícia Universidade Católica do Paraná, Rua Imaculada Conceição, Curitiba, Paraná, Brazil
Venue:
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Year:
2012

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Abstract

A new approach to extract the lesion region of melanoma is presented. This approach is based on color morphological operators which are defined from a lexicographic order on the HSI color space. The morphological filtering allows highlighting the region of melanoma that is then segmented by binarization. No a priori knowledge about the process of image acquisition and the type of melanoma is employed and a few heuristics are used. Tests were performed for two sets of benign and malignant melanoma images and compared with the ground-truth lesion segmentation by applying twelve metrics. The results prove the efficiency of this approach with regard to the automatic segmentation of both benign and malignant melanoma.