Treffer: Extraction and removal of layers from map imagery data

Title:
Extraction and removal of layers from map imagery data
Source:
Image analysis (Joensuu, 19-22 June 2005)Lecture notes in computer science. :1107-1116
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 15 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, University of Joensuu, P.O.Box 111, 80101 Joensuu, Finland
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16991199
Database:
PASCAL Archive

Weitere Informationen

Map images are composed of semantic layers depicted in arbitrary color. Layer extraction and removal is often needed for improving readability as well as for further processing. When image is separated into the set of layers with respect to the colors, it results in appearance of severe artifacts because of the layer overlapping. In this way the extracted layers differ from the semantic data, which affects further map image processing analysis tasks. In this work, we introduce techniques for extraction and removal of the semantic layers from the map images. The techniques utilize low-complexity morphological image restoration algorithms. The restoration provides good quality of the reconstructed layers, and alleviates the affect of artifacts on the precision of image analysis tasks.