An improved parallel thinning algorithm
Communications of the ACM
A vectorizer and feature extractor for document recognition
Computer Vision, Graphics, and Image Processing
CST: A fast thinning algorithm implemented on a sequential computer
IEEE Transactions on Systems, Man and Cybernetics
A modified fast parallel algorithm for thinning digital patterns
Pattern Recognition Letters
Maris: map recognition input system
Pattern Recognition
A System for Interpretation of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tools for interactive map conversion and vectorization
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
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Recently, there is a growing interest from various fields of studies in GIS which promotes efficient storage and retrieval of geographic information. The development of automated vectorizing system, an input method for GIS, is of extreme importance due to the fact that this part of constructing a GIS has been time consuming. Most vectorizing systems require users to set parameters as appropriately as possible to the map image at hand, but it is quite difficult for a novice to adjust the parameters accurately. In this paper, we propose an automated vectorizing system based on a knowledge base rendering an appropriate choice of the parameters. Each rule in the knowledge base is characterized by the type of maps, resolution, line width, slope and protrusion. Experimental results with various map images evince the proposed system to be superior in terms of performance and convenience.