Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Contour Line and Geographic Feature Extraction from USGS Color Topographical Paper Maps
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text/Graphics Separation in Maps
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Cooperative Text and Line-Art Extraction from a Topographic Map
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Automatic extraction of road intersections from raster maps
Proceedings of the 13th annual ACM international workshop on Geographic information systems
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Automatically Conflating Road Vector Data with Orthoimagery
Geoinformatica
AR City Representation System Based on Map Recognition Using Topological Information
VMR '09 Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009
Augmenting cartographic resources for autonomous driving
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Tree detection from aerial imagery
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Classification of raster maps for automatic feature extraction
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Extracting road vector data from raster maps
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
Vectorization of thick digital lines using Farey sequence and geometric refinement
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Exploiting publicly available cartographic resources for aerial image analysis
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
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The road network is one of the most important types of information on raster maps. In particular, the set of road intersection templates, which consists of the road intersection positions, the road connectivities, and the road orientations, represents an abstraction of the road network and is more accurate and easier to extract than the extraction of the entire road network. To extract the road intersection templates from raster maps, the thinning operator is commonly used to find the basic structure of the road lines (i.e., to extract the skeletons of the lines). However, the thinning operator produces distorted lines near line intersections, especially at the T-shaped intersections. Therefore, the extracted position of the road intersection and the road orientations are not accurate. In this paper, we utilize our previous work on automatically extracting road intersection positions to identify the road lines that intersect at the intersections and then trace the road orientations and refine the positions of the road intersections. We compare the proposed approach with the usage of the thinning operator and show that our proposed approach extracts more accurate road intersection positions and road orientations than the previous approach.