Scalable discrepancy measures for segmentation evaluation
C. Odet, Boubakeur Belaroussi, Hugues Benoit-Cattin · Proceedings - International Conference on Image Processing · 2003
We propose a set of scalable discrepancy measures that may be applied for segmentation evaluation when a reference is known. The proposed measures take into account under and over detected points within an adjustable area. They give the intensity of the discrepancy and its relative position. Furthermore a scale parameter allows the accuracy of the measures to be adjusted.