Supervised evaluation of synthetic and real contour segmentation results

This article presents a comparative study of 14 supervised evaluation criteria of image segmentation results. A preliminary study made on synthetic segmentation results allows us to globally characterise the behaviours of the selected criteria. This first analysis is then completed on a selection of 300 real images extracted from the ^©Corel database. Ten contour segmentation methods based on threshold selection are used to generate real segmentation results and various situations corresponding to under- and over-segmentation. Experimental results permit to reveal the advantages and limitations of the studied criteria face to various situations.