Adaptive anisotropic morphological filtering based on co-circularity of local orientations - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Image Processing On Line Année : 2022

Adaptive anisotropic morphological filtering based on co-circularity of local orientations

Samy Blusseau
Jesus Angulo
Isabelle Bloch

Résumé

The algorithm presented in this paper is an application of a general framework for morphological processing of signals on weighted graphs. Here we apply it to images by defining what we call a co-circularity graph. In this graph, the vertices are the pixels and the weighted edges depend on a consistency criterion (co-circularity) between local orientations estimated from the structure tensors. This graph induces anisotropic adaptive morphological operators which are related both to anisotropic diffusion in images and path optimality in graphs. We present several applications such as the enhancement of fibre-like structures, completion of interrupted edges and the regularisation of gray-scale images. We also discuss the parameters setting depending on the application.
Fichier principal
Vignette du fichier
preprint_ipol.pdf (11.33 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03632225 , version 1 (06-04-2022)
hal-03632225 , version 2 (21-04-2022)

Identifiants

Citer

Samy Blusseau, Santiago Velasco-Forero, Jesus Angulo, Isabelle Bloch. Adaptive anisotropic morphological filtering based on co-circularity of local orientations. Image Processing On Line, 2022, ⟨10.5201/ipol.2022.397⟩. ⟨hal-03632225v2⟩
58 Consultations
16 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More