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Proceedings Paper

Exploration of picture grammars, grammar learning, and inductive logic programming for image understanding
Author(s): P. G. Ducksbury; C. Kennedy; Z. Lock
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Paper Abstract

Grammars have been used for the formal specification of programming languages, and there are a number of commercial products which now use grammars. However, these have tended to be focused mainly on flow control type applications. In this paper, we consider the potential use of picture grammars and inductive logic programming in generic image understanding applications, such as object recognition. A number of issues are considered, such as what type of grammar needs to be used, how to construct the grammar with its associated attributes, difficulties encountered with parsing grammars followed by issues of automatically learning grammars using a genetic algorithm. The concept of inductive logic programming is then introduced as a method that can overcome some of the earlier difficulties.

Paper Details

Date Published: 16 September 2003
PDF: 12 pages
Proc. SPIE 5094, Automatic Target Recognition XIII, (16 September 2003); doi: 10.1117/12.484878
Show Author Affiliations
P. G. Ducksbury, QinetiQ (United Kingdom)
C. Kennedy, QinetiQ (United Kingdom)
Z. Lock, QinetiQ (United Kingdom)

Published in SPIE Proceedings Vol. 5094:
Automatic Target Recognition XIII
Firooz A. Sadjadi, Editor(s)

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