

In: International workshop on energy minimization methods in computer vision and pattern recognition, pp. Tools 25, 120–125 (2000)Ĭheng, J., Liu, J., Xu, Y., Yin, F., Wong, D.W.K., Tan, N.M., Tao, D., Cheng, C.Y., Aung, T., Wong, T.Y.: Superpixel classification based optic disc and optic cup segmentation for glaucoma screening. Springer (2012)īeucher, S.: The watershed transformation applied to image segmentation. In: European conference on computer vision, pp. ACM Sigplan Notices 35(11), 117–128 (2000)īergh, V.M., Boix, X., Roig, G., de Capitani, B., Van Gool, L.: Seeds: Superpixels extracted via energy-driven sampling. IEEE (2010)īerger, E.D., McKinley, K.S., Blumofe, R.D., Wilson, P.R.: Hoard: A scalable memory allocator for multithreaded applications. In: 2010 IEEE computer society conference on computer vision and pattern recognition, pp. 33(5), 898–916 (2010)īatra, D., Kowdle, A., Parikh, D., Luo, J., Chen, T.: icoseg: Interactive co-segmentation with intelligent scribble guidance. 34(11), 2274–2282 (2012)Īrbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Süsstrunk, S.: Slic superpixels compared to state-of-the-art superpixel methods.
