A multi-scale, directional and parametrized transition detection algorithm based on morphological residues

Silvio Jamil Ferzoli GuimaraesNeurimar J. LeiteMichel CouprieArnaldo de Albuquerque Araújo

The boundary identification represents an interesting and difficult problem in image process-ing, mainly if two at zones are separated by a fuzzy region (gradual transition). The most common operators work very well for sharp edges, but fail for gradual transitions. In this work, we have done a characterization for multi-scale gradient by a study of the opening residues. This characterization is useful to identify and classify sharp and gradual transitions between two consecutive at zones according to a size criterion.

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