A new sub-pixel map for image analysis

Authors:
Hans Meine;Ullrich Köthe
Affiliations:
Cognitive Systems Laboratory, University of Hamburg, Hamburg, Germany;Cognitive Systems Laboratory, University of Hamburg, Hamburg, Germany
Venue:
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Year:
2006

Citing 11
Cited 2

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Solid Modeling

Introduction to Solid Modeling
Finite topology as applied to image analysis

Computer Vision, Graphics, and Image Processing
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Primitives for the manipulation of general subdivisions and the computation of Voronoi

ACM Transactions on Graphics (TOG)
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
Subpixel-Precise Extraction of Watersheds

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Construction of combinatorial pyramids

GbRPR'03 Proceedings of the 4th IAPR international conference on Graph based representations in pattern recognition
Deriving topological representations from edge images

Proceedings of the 11th international conference on Theoretical foundations of computer vision
Representing and segmenting 2d images by means of planar maps with discrete embeddings: from model to applications

GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
The GeoMap: a unified representation for topology and geometry

GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition

A topological sampling theorem for Robust boundary reconstruction and image segmentation

Discrete Applied Mathematics
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

Quantified Score

Hi-index	0.00

Visualization

Abstract

Planar maps have been proposed as a powerful and easy-to-use representation for various kinds of image analysis results, but so far they are restricted to pixel accuracy. This leads to limitations in the representation of complex structures (such as junctions, triangulations, and skeletons) and discards the sub-pixel information available in grayvalue and color images. We extend the planar map formalism to sub-pixel accuracy and introduce various algorithms to create such a map, thereby demonstrating significant gains over the existing approaches.