3D Segmentation by Maximally Stable Volumes (MSVs) Export

@inproceedings{Donoser:2006:MSV, abstract = {This paper introduces an efficient 3D segmentation concept, which is based on extending the well-known Maximally Stable Extremal Region (MSER) detector to the third dimension. The extension allows the detection of stable 3D regions, which we call the Maximally Stable Volumes (MSVs). We present a very efficient way to detect the MSVs in quasi-linear time by analysis of the component tree. Two applications - 3D segmentation within simulated MR brain images and analysis of the 3D fiber network within digitized paper samples - show that reasonably good segmentation results are achieved with low computational effort.}, author = {Donoser, M. and Bischof, H.}, booktitle = {Pattern Recognition, 2006. ICPR 2006. 18th International Conference on}, citeulike-article-id = {1645809}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1698834}, journal = {Pattern Recognition, 2006. ICPR 2006. 18th International Conference on}, keywords = {3d, mser, msv, segmentation}, pages = {63--66}, posted-at = {2007-09-11 23:34:21}, priority = {0}, title = {3D Segmentation by Maximally Stable Volumes (MSVs)}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1698834}, volume = {1}, year = {2006} }

TY - CONF ID - Donoser:2006:MSV L3 - citeulike-article-id:1645809 N2 - This paper introduces an efficient 3D segmentation concept, which is based on extending the well-known Maximally Stable Extremal Region (MSER) detector to the third dimension. The extension allows the detection of stable 3D regions, which we call the Maximally Stable Volumes (MSVs). We present a very efficient way to detect the MSVs in quasi-linear time by analysis of the component tree. Two applications - 3D segmentation within simulated MR brain images and analysis of the 3D fiber network within digitized paper samples - show that reasonably good segmentation results are achieved with low computational effort. JF - Pattern Recognition, 2006. ICPR 2006. 18th International Conference on EP - 66 TI - 3D Segmentation by Maximally Stable Volumes (MSVs) VL - 1 T2 - Pattern Recognition, 2006. ICPR 2006. 18th International Conference on SP - 63 KW - 3d KW - mser KW - msv KW - segmentation AU - Donoser, M AU - Bischof, H PY - 2006/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1698834 ER -