Uma metodologia híbrida para segmentação de lesões de pele

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Alex F. de Araújo (Author) FEUP; João Manuel R. S. Tavares (Author) FEUP; Roberta Barbosa Oliveira (Author) Other; Aledir Silveira Pereira (Author) Other; Norian Marranghello (Author) Other; Ricardo Baccaro Rossetti (Author) Other

Conference proceedings National

Title: WVC 2011 - VII Workshop de Visão Computacional

Pages: 173-178

WVC 2011 - VII Workshop de Visão Computacional Universidade Federal do Paraná, UFPR, Curitiba, Brasil 22-25 Maio 2011 ISSN: 2175-6120

Universidade Federal do Paraná, UFPR, Curitiba, Brasil, 22-25 Maio 2011

Scientific classification

FOS: Engineering and technology > Mechanical engineering

CORDIS: Technological sciences > Technology > Computer technology > Image processing

Other information

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6