DocumentCode :
2037440
Title :
2-d analogues of Allen Interval Algebra for image analysis: towards justification
Author :
Starks, Scott A. ; Iourinski, Dima ; Kreinovich, Vladik
Author_Institution :
NASA Pan-American Center for Earth & Environ. Studies, Texas Univ., El Paso, TX, USA
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
2182
Abstract :
In reasoning about time and duration, researchers often use Allen\´s interval algebra. This algebra describes possible relations between 1-D intervals. An interval can precede the other one, follow the other one, start the other one, etc. This algebra describes the relationship between different intervals in terms of words from natural language. To give a natural language description of 2D images, it is desirable to develop a similar approach for describing the relationship between 2-D objects in a picture. In their recent papers, J. Keller and his collaborators proposed a new approach based on a simulation of a "force" between these objects. In this paper, we show that their force formula is theoretically optimal
Keywords :
image processing; linear algebra; 2-D analogues; Allen interval algebra; image analysis; natural language; reasoning; Algebra; Collaboration; Earth; Fuzzy control; Genetics; Histograms; Image analysis; NASA; Natural languages; Two dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
ISSN :
1062-922X
Print_ISBN :
0-7803-7087-2
Type :
conf
DOI :
10.1109/ICSMC.2001.972879
Filename :
972879
Link To Document :
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