Merging discrepancy measures for region-based segmentation results evaluation and comparison: Application to thresholded weld defect radiographic images

Type : Article de conférence
Auteur(s) :  A. B. Goumeidane, M. Khamadja
Année :  2013
Domaine : Electronique
Conférence: International Symposium on Image and Signal Processing and Analysis (ISPA)
Lieu de la conférence: 
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  Image segmentation evaluation, Discrepancy measures, radiographic images

Résumé : 

This paper presents a new method for evaluating and comparing image segmentation results. This method consists of an association of measures that have the purpose to compute, in the sense of segmentation evaluation, the difference between two regions, one extracted from an ideal segmentation map and the same region obtained with a segmentation algorithm. Those measures take into account many aspects of the miss-segmented pixels as connectivity, compactness, location and their influence on the segmentation result. The new measure which rates the overall segmentation results, is easier to use comparatively to several measures, especially for a machine or an inexperienced user.