Image segmentation by the image foresting transform / Segmentação de imagens pela transformada imagem-floresta
AUTOR(ES)
Paulo Andre Vechiatto de Miranda
DATA DE PUBLICAÇÃO
2006
RESUMO
Despite of the progress over the last two decades, image segmentation remains one of the most difficult challenges in image analysis. More specifically, accurate segmentation methods are likely to be complex, computationally expensive, application-dependent, and often require considerable human interaction. We have investigated methods for interactive segmentation that reduce user intervention to simple selection of a few pixels in the image. We are interested in minimizing the user involvement such that automation becomes feasible for some applications where these pixels may be automatically identified. The adopted methodology uses the framework of the image foresting transform (IFT) - a general tool for the design, implementation, and evaluation of image processing operators based on connectivity. The IFT reduces image processing problems into a minimum-cost path forest problem in a graph derived from the image. In this work, we present three new segmentation methods based on the IFT
ASSUNTO(S)
processamento de imagens imagens - interpretação image processing cerebro - imagem de ressonancia magnetica picture interpretation magnetic resonance imaging brain
ACESSO AO ARTIGO
http://libdigi.unicamp.br/document/?code=vtls000379604Documentos Relacionados
- Aglomeração de pixels pela transformada imagem floresta e sua aplicação em segmentação de fundo de imagens natuarais
- Projeto de operadores de processamento e analise de imagens baseados na transformada imagem-floresta
- Uma plataforma de hardware para processamento de imagem baseada na transformada imagem-floresta
- Segmentação do pulmão em sequências de imagens de ressonância magnética utilizando a transformada de Hough.
- Uma proposta imuno-inspirada para segmentação de imagens com texturas usando transformada wavelet packet