Authors:
- Presents up-to-date methods and algorithms for the automated analysis of engineering drawings and digital cartographic maps
- Discusses automatic engineering drawing and map analysis techniques
- Covers detailed accounts of the use of unsupervised segmentation algorithms to map images
- Includes supplementary material: sn.pub/extras
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (8 chapters)
-
Front Matter
-
Back Matter
About this book
This book covers up-to-date methods and algorithms for the automated analysis of engineering drawings and digital cartographic maps. The Non-Deterministic Agent System (NDAS) offers a parallel computational approach to such image analysis. The book describes techniques suitable for persistent and explicit knowledge representation for engineering drawings and digital maps. It also highlights more specific techniques, e.g., applying robot navigation and mapping methods to this problem. Also included are more detailed accounts of the use of unsupervised segmentation algorithms to map images. Finally, all these threads are woven together in two related systems: NDAS and AMAM (Automatic Map Analysis Module).
Authors and Affiliations
-
University of Utah, SALT LAKE CITY, USA
Thomas C. Henderson
About the author
Participated and lectured in several NATO ASIs and ARWs, as well as Director of a NATO Advanced Research Workshop.
Previous author with Springer (see related below)
Bibliographic Information
Book Title: Analysis of Engineering Drawings and Raster Map Images
Authors: Thomas C. Henderson
DOI: https://doi.org/10.1007/978-1-4419-8167-7
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4419-8166-0
Softcover ISBN: 978-1-4939-5178-9
eBook ISBN: 978-1-4419-8167-7
Edition Number: 1
Number of Pages: XII, 241
Number of Illustrations: 214 b/w illustrations
Topics: Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision, Remote Sensing/Photogrammetry