Error measures for segmentation results: Evaluation on synthetic images

Auteurs :  A. B. Goumeidane, M. Khamadja
Année : 2010
Domaine : Electronique
Type : Communication
Conférence: IEEE International Conference on Electronics, Circuits, and Systems (ICECS)
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés : image segmentation, Results evaluation, Supervised evaluation

Résumé : 

In this paper we present a new approach to assess image segmentation results. This approach consists of six measures that aim, together, to compute in the sense of segmentation evaluation, the discrepancy between a region extracted from a segmentation map and its corresponding one on the reference map. Those measures take into account many aspects of the miss-segmented pixels as connectivity, compactness, location and their influence on the segmentation results.