An Image Processing Language with Icon-Assisted Navigation
IEEE Transactions on Software Engineering - Annals of discrete mathematics, 24
A Robust Algorithm for Text String Separation from Mixed Text/Graphics Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
The design and implementation of an expert object-oriented geographic information system
CIKM '93 Proceedings of the second international conference on Information and knowledge management
SMR-tree: an efficient index structure for spatial databases
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Automated Analysis of Scanned Ducting Diagrams
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
Effective GIS Mobile Query System
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
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The design of a system to extract information automatically from paper-based maps and answer queries related to spatial features and structure of geographic data is considered. The foundation of such a system is a set of image-analysis algorithms for extracting spatial features. Efficient algorithms to detect symbols, identify and track various types of lines, follow closed contours, compute distances, find shortest paths, etc. from simplified map images have been developed. A query processor analyzes the queries presented by the user in a predefined syntax, controls the operation of the image processing algorithms, and interacts with the user. The query processor is written in Lisp and calls image-analysis routines written in Fortran.