DocumentCode
874825
Title
Extracting area objects from raster image data
Author
Riekert, Wolf-Fritz
Author_Institution
Siemens Nixdorf Informationsysteme AG, Munich, Germany
Volume
13
Issue
2
fYear
1993
fDate
3/1/1993 12:00:00 AM
Firstpage
68
Lastpage
73
Abstract
An algorithm for extracting the spatial objects contained in raster image data is presented. Input to the algorithm is a Siemens computer-aided design (SICAD)-Hygris raster file representing a classification of the plane. Output of the algorithm is a SICAD geographic information system (GIS) external file containing the topologically complete definitions of all area objects and their constituents, such as arcs and nodes, as implied by the classification. The algorithm is based on a one-pass plane sweep that processes the input raster data in a strictly sequential order. Processing takes place only if certain color changes, also called events, occur. Each event triggers a well-defined sequence of simple actions.<>
Keywords
geographic information systems; visual databases; SICAD-Hygris raster file; Siemens computer-aided design; arcs; area objects; area objects extraction; classification; geographic information system; nodes; one-pass plane sweep; raster image data; spatial objects; topologically complete definitions; Data mining; Earth; Geographic Information Systems; Geometry; Image color analysis; Information resources; Matrix converters; Monitoring; Performance analysis; Pixel;
fLanguage
English
Journal_Title
Computer Graphics and Applications, IEEE
Publisher
ieee
ISSN
0272-1716
Type
jour
DOI
10.1109/38.204969
Filename
204969
Link To Document