Introduction to Solid Modeling
Introduction to Solid Modeling
Hierarchical Image Analysis Using Irregular Tessellations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Combinatorial Pyramids
Digital and Image Geometry, Advanced Lectures [based on a winter school held at Dagstuhl Castle, Germany in December 2000]
XPMaps and Topological Segmentation - A Unified Approach to Finite Topologies in the Plane
DGCI '02 Proceedings of the 10th International Conference on Discrete Geometry for Computer Imagery
Learning a Classification Model for Segmentation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Deriving topological representations from edge images
Proceedings of the 11th international conference on Theoretical foundations of computer vision
Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification
Proceedings of the 30th DAGM symposium on Pattern Recognition
Annotated Contraction Kernels for Interactive Image Segmentation
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Region merging with topological control
Discrete Applied Mathematics
A new sub-pixel map for image analysis
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
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We propose the GeoMap abstract data type as a unified representation for image segmentation purposes. It manages both topology (based on XPMaps) and pixel-based information, and its interface is carefully designed to support a variety of automatic and interactive segmentation methods. We have successfully used the abstract concept of a GeoMap as a foundation for the implementation of well-known segmentation methods.