Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/55805
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 |
URI: | https://repositorio-aberto.up.pt/handle/10216/55805 |
Source: | WVC 2011 - VII Workshop de Visão Computacional |
Document Type: | Artigo em Livro de Atas de Conferência Nacional |
Rights: | openAccess |
License: | https://creativecommons.org/licenses/by-nc/4.0/ |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Nacional |
This item is licensed under a Creative Commons License