Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/194701
Type: Artigo de periódico
Title: Rank-based Decompositions Of Morphological Templates.
Author: Sussner, P
Ritter, G X
Abstract: Methods for matrix decomposition have found numerous applications in image processing, in particular for the problem of template decomposition. Since existing matrix decomposition techniques are mainly concerned with the linear domain, we consider it timely to investigate matrix decomposition techniques in the nonlinear domain with applications in image processing. The mathematical basis for these investigations is the new theory of rank within minimax algebra. Thus far, only minimax decompositions of rank 1 and rank 2 matrices into outer product expansions are known to the image processing community. We derive a heuristic algorithm for the decomposition of matrices having arbitrary rank.
Rights: fechado
Identifier DOI: 10.1109/83.855436
Address: http://www.ncbi.nlm.nih.gov/pubmed/18262978
Date Issue: 2000
Appears in Collections:Unicamp - Artigos e Outros Documentos

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