Abstract
In this paper, a method for morphological segmentation using shape information is presented. This method is based on a morphological operator named ultimate attribute opening (UAO). Our approach considers shape information to favor the detection of specific shapes. The method is validated in the framework of two applications: façade analysis and scene-text detection. The experimental results show that our approach is more robust than the standard UAO.
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Hernández, J., Marcotegui, B. (2009). Ultimate Attribute Opening Segmentation with Shape Information. In: Wilkinson, M.H.F., Roerdink, J.B.T.M. (eds) Mathematical Morphology and Its Application to Signal and Image Processing. ISMM 2009. Lecture Notes in Computer Science, vol 5720. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03613-2_19
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DOI: https://doi.org/10.1007/978-3-642-03613-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03612-5
Online ISBN: 978-3-642-03613-2
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