Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/131
Título: Fast segmentation of 3D data using an octree
Autor: Rodrigues, J. M. F.
Loke, R. E.
du Buf, J. M. H.
Palavras-chave: Segmentação de imagem em 3D
3D segmentation
Boundary refinement
Octree
NMR data
Data: 2000
Editora: Porto
Citação: 11th Portuguese Conference on Pattern Recognition (RECPAD 2000). - Porto, 11-12 May 2000. - p. 185-189
Resumo: The algorithm developed uses an octree pyramid in which noise is reduced at the expense of the spatial resolution. At a certain level an unsupervised clustering without spatial connectivity constraints is applied. After the classification, isolated voxels and insignificant regions are removed by assigning them to their neighbours. The spatial resolution is then increased by the downprojection of the regions, level by level. At each level the uncertainty of the boundary voxels is minimised by a dynamic selection and classification of these, using an adaptive 3D filtering. The algorithm is tested using different data sets, including NMR data.
URI: http://hdl.handle.net/10400.1/131
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