Similarity-based and perception-based image segmentation

Jérémy Huart (1) , Pascal Bertolino (1)

1 LIS - Laboratoire des images et des signaux

In this paper, we present a segmentation method that provides perceptually relevant partitions without any a priori knowledge of the image content: first a local homogeneity analysis detects the image areas that have to be segmented. Then segmentation using a similarity criterion is locally performed. At last, segmented regions are grouped using Gestalt criteria. The whole method is presented in a hierarchical framework.

Mots clés: pyramidal segmentation

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Jérémy Huart, Pascal Bertolino. Similarity-based and perception-based image segmentation. IEEE International Conference on Image Processing, ICIP 2005, Sep 2005, Genova, Italy. pp.CD. ⟨hal-00372203⟩