Uma metodologia híbrida para segmentação de lesões de pele

• Autor(a) principal: Alex F. de Araújo
• Data de Publicação: 2011
• Outros Autores: João Manuel R. S. Tavares, Roberta Barbosa Oliveira, Aledir Silveira Pereira, Norian Marranghello, Ricardo Baccaro Rossetti
• Tipo de documento: Livro
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://repositorio-aberto.up.pt/handle/10216/55805
• topic: Processamento de imagem, Engenharia mecânica; Image processing, Mechanical engineering

Computer aided methods are widespread demanded in medical applications. As such, methodologies to automatic extract contours are desired to aid the automatic diagnosis of skin lesions. In this work, we propose a hybrid method to detect and extract skin lesion contours from dermatoscopic images. In the proposed method, to obtain the contour that includes all lesion regions, the region growing technique, based on a Quadtree implementation, is used to extract an initial contour. Afterwards, this contour is refined by using a traditional active contour model. Experimental results indicate that the proposed method is promising to detect skin lesion areas and to extract their contours from dermatoscopic images. Actually, the extracted contours maintain the original lesion features that are usually used in their diagnosis. Additionally, the results allow concluding that the method is able to detect lesion regions even in images with strong noise, like in images of the scalp.