DocumentCode :
1438209
Title :
Information extraction from images of paper-based maps
Author :
Kasturi, Rangachar ; Alemany, Juan
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Volume :
14
Issue :
5
fYear :
1988
fDate :
5/1/1988 12:00:00 AM
Firstpage :
671
Lastpage :
675
Abstract :
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
Keywords :
cartography; database management systems; information retrieval; query languages; user interfaces; Fortran; Lisp; closed contours; distances; geographic data; image-analysis algorithms; map images; paper-based maps; query processor; shortest paths; spatial features; syntax; Data mining; Data processing; Database systems; Deductive databases; Feature extraction; Graphics; Image analysis; Image databases; Image processing; Pattern recognition;
fLanguage :
English
Journal_Title :
Software Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-5589
Type :
jour
DOI :
10.1109/32.6145
Filename :
6145
Link To Document :
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