Error measures for segmentation results: Evaluation on synthetic images

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.