Ijiri, TakashiYoshizawa, ShinSato, YuIto, MasaakiYokota, HideoI. Navazo, P. Poulin2015-02-282015-02-2820131467-8659https://doi.org/10.1111/cgf.12032In this paper, we propose a novel contour-based volume image segmentation technique. Our technique is based on an implicit surface reconstruction strategy, whereby a signed scalar field is generated from user-specified contours. The key idea is to compute the scalar field in a joint spatial-range domain (i.e., bilateral domain) and resample its values on an image manifold. We introduce a new formulation of Hermite radial basis function (HRBF) interpolation to obtain the scalar field in the bilateral domain. In contrast to previous implicit methods, bilateral HRBF (BHRBF) generates a segmentation boundary that passes through all contours, fits high-contrast image edges if they exist, and has a smooth shape in blurred areas of images. We also propose an acceleration scheme for computing B-HRBF to support a real-time and intuitive segmentation interface. In our experiments, we achieved high-quality segmentation results for regions of interest with high-contrast edges and blurred boundaries.I.4.6 [Computer Graphics]SegmentationI.3.6 [Computer Graphics]Interaction techniquesI.3.5 [Computer Graphics]Computational Geometry and Object ModelingCurvesurfacesolidand object representations