Morphological residues and a general framework for image filtering and segmentation

Authors:
Neucimar J. Leite;Sílvio J. F. Guimaräes
Affiliations:
Institute of Computing-UNICAMP, Campinas, SP, Brazil;Department of Computer Science-UFMG, Belo Horizonte, MG, Brazil
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2001

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Abstract

Morphological residues represent an image in a hierarchical way by means of a decomposition of its structures and according to a size parameter λ. From this decomposition, we can obtain a relation between the different residual levels associated with the complexity of the image structures. In this work, we introduce a new method to filter out components of gray-scale images based on the morphological residue decomposition which takes into account a size parameter and a certain level of complexity of the different structures to be filtered. As we will illustrate, this complexity is associated with a set of new attributes of the image defined according to the information contained in its multi-resolution representation.