A graphical interface for evaluating three graph-based image segmentation algorithms
Gabriel Mihai, Alina Doringa, Liana Stănescu · Proceedings of the International Multiconference on Computer Science and Information Technology · 2010
Image segmentation has an essential role in image Analysis, pattern recognition and low-level vision. Since multiple segmentation algorithms exists in literature, numerical evaluations are needed to quantify the consistency quantification because are allowing a principled comparison between segmentation results on different images, with differing numbers of regions, and generated by different algorithms with different parameters. This paper presents a graphical interface for evaluating three graph-based image segmentation algorithms: the color set back-projection algorithm, an efficient graph based image segmentation algorithm known also as the local variation algorithm and a new and original segmentation algorithm using a hexagonal structure defined on the set of image pixels.