In this paper we describe modifications of irregular imagesegmentation pyramids based on user-interaction. We first build a hierarchyof segmentations by the minimum spanning tree based method,then regions from different (granularity) levels are combined to a final(better) segmentation with user-specified operations guiding the segmentationprocess. Based on these operations the users can produce a finalimage segmentation that best suits their applications. This work can beused for applications where we need accuracy in image segmentation, inannotating images or creating ground truth among others.


Gerstmayer, M., Haxhimusa, Y., & Kropatsch, W. (2011). Hierarchical Interactive Image Segmentation using Irregular Pyramids. In Graph-Based Representations in Pattern Recognition 8th IAPR-TC-15 International Workshop, GbRPR 2011, Münster, Germany, May 18-20, 2011, Proceedings (pp. 245–254). Springer-Verlag Berlin Heidelberg 2011. https://doi.org/10.1007/978-3-642-20844-7_25