A robust method for picture segmentation based on split-and-merge procedure
Computer Vision, Graphics, and Image Processing
Recursive region splitting at hierarchical scope views
Computer Vision, Graphics, and Image Processing
Hierarchical Image Analysis Using Irregular Tessellations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two linear time Union-Find strategies for image processing
Theoretical Computer Science
Receptive Fields within the Combinatorial Pyramid Framework
DGCI '02 Proceedings of the 10th International Conference on Discrete Geometry for Computer Imagery
Split-and-merge algorithms defined on topological maps for 3D image segmentation
Graphical Models - Special issue: Discrete topology and geometry for image and object representation
Computer Vision and Image Understanding
nD generalized map pyramids: Definition, representations and basic operations
Pattern Recognition
Pyramids of n-dimensional generalized maps
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
Receptive fields for generalized map pyramids: the notion of generalized orbit
DGCI'05 Proceedings of the 12th international conference on Discrete Geometry for Computer Imagery
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Graph pyramids are often used to represent an image with various levels of details Generalized pyramids have been recently defined in order to deal with images in any dimension In this work, we show how to use generalized pyramids to represent 3D multi-level segmented images We show how to construct such a pyramid, by alternating segmentation and simplification steps We present how cells to be removed are marked: by using an homogeneous criterion to mark faces and the cell degree to mark other cells When the pyramid is constructed, the main problem consists in retrieving information on regions In this work, we show how to retrieve two types of information The first one is the low level cells that are merged into a unique high level cell The second one is the inter-voxel cells that compose a given region.