Image transformations based on mathematical morphology operations / Transformações de imagens baseadas em morfologia matematica
AUTOR(ES)
Leyza Elmeri Baldo Dorini
DATA DE PUBLICAÇÃO
2009
RESUMO
In this work, we present a new set of image transformations that can be used as an additional step in several applications, such as segmentation, to avoid the need of operations with a higher computational cost. These transformations are based on mathematical morphology operations and have the format of a toggle operator. The first proposed operation has scale-space properties, which conduce to a well-controlled simplification of the image where minima and maximal interact at the same time, an advantage when compared to other approaches. Through the analysis of different representation levels, it is possible to deal with the multiscale nature of images, as well as to extract the specific features that become explicit at each scale. By changing the primitives the form of application of the proposed operator, we also define an adaptative multiscale thresholding operation and a noise filtering method. We show the results of several computational experiments, which demonstrate the advantages of the proposed approaches
ASSUNTO(S)
analise de imagem processamento de imagens image processing morfologia matemática image analysis mathematical morphology
ACESSO AO ARTIGO
http://libdigi.unicamp.br/document/?code=000436270Documentos Relacionados
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