Introduction to algorithms
Graphical Models and Image Processing
Multiseeded Segmentation Using Fuzzy Connectedness
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometry of Digital Spaces
Nonlinear image labeling for multivalued segmentation
IEEE Transactions on Image Processing
Digital distance functions on three-dimensional grids
Theoretical Computer Science
Image processing system for localising macromolecules in cryo-electron tomography
Machine Graphics & Vision International Journal
Generating distance maps with neighbourhood sequences
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Fuzzy segmentation of color video shots
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Topology preserving digitization with FCC and BCC grids
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
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Fuzzy connectedness has been effectively used to segment out objects in volumes containing noise and/or shading. Multiseeded fuzzy segmentation is a generalized approach that produces a unique simultaneous segmentation of multiple objects. Fcc (face centered cubic) grids are grids formed by rhombic dodecahedral voxels that can be used to represent volumes with fewer elements than a normal cubic grid. Tomographic reconstructions (PET and CT) are used to evaluate the accuracy and speed of the algorithm.