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