Ultimate attribute opening segmentation with shape information

Jorge Hernandez (1) , Beatriz Marcotegui (1)

1 CMM - Centre de Morphologie Mathématique

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.

Mots clés: Morphological operator; Morphological segmentation; Shape information; Text detection; Content based retrieval; Image processing; Imaging systems; Mathematical operators; Morphology; Signal detection; Mathematical Morphology

Domaines: Mathématiques [math]; Mathématiques appliquées

Jorge Hernandez, Beatriz Marcotegui. Ultimate attribute opening segmentation with shape information. 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing, ISMM 2009, Aug 2009, Groningen, Netherlands. pp.205-214, ⟨10.1007/978-3-642-03613-2_19⟩. ⟨hal-00833498⟩