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Author(s): Alex F. de Araújo
João Manuel R. S. Tavares
Roberta Barbosa Oliveira
Aledir Silveira Pereira
Norian Marranghello
Ricardo Baccaro Rossetti
Title: Uma metodologia híbrida para segmentação de lesões de pele
Issue Date: 2011
Abstract: 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.
Subject: Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia mecânica
Engineering and technology::Mechanical engineering
Source: WVC 2011 - VII Workshop de Visão Computacional
Document Type: Artigo em Livro de Atas de Conferência Nacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Nacional

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