An HVS-inspired approach for image segmentation evaluation

A new approach for evaluating image segmentation methods is proposed. It exploits some image quality assessment measures inspired from the human visual system (HVS) mechanisms. The main idea is to consider image segmentation as a coding process. This approach is used for evaluating some grey-level thresholding methods. It could be easily extended to the evaluation of region-based segmentation methods. The obtained results confirm that this new approach is very promising and open new methodology for image segmentation evaluation.