DocumentCode :
1695895
Title :
A fast method for identifying graphical objects in large engineering drawings
Author :
Chakraborty, Ami T.
Volume :
1
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
794
Abstract :
Document processing and understanding is important for a variety of applications such as office automation, creation of electronic manuals, online documentation and annotation etc. However the understanding and identifying of graphical objects in large engineering drawings which often can be of the order of 10000×10000 pixels using traditional methods can be a very challenging and time consuming task due to the sheer size. We describe a method that circumvents that by using a hierarchical top-down approach for recognizing graphical objects. The speedup is almost of the order of 1000 and this is achieved by following a strategy that exploits the characteristics of such diagrams such as low pixel density
Keywords :
document image processing; engineering computing; object recognition; document processing; document understanding; graphical object recognition; hierarchical top-down approach; large engineering drawings; pixel density; Ambient intelligence; Automation; Books; Computational complexity; Documentation; Engineering drawings; Pattern matching; Smoothing methods; TV; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
Type :
conf
DOI :
10.1109/ICIP.2001.959165
Filename :
959165
Link To Document :
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