Graph Based Shapes Representation and Recognition

author: Rashid Jalal Qureshi, François Rabelais University
published: July 12, 2007,   recorded: June 2007,   views: 8684


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In this paper, we propose to represent shapes by graphs. Based on graphic primitives extracted from the binary images, attributed relational graphs were generated. Thus, the nodes of the graph represent shape primitives like vectors and quadrilaterals while arcs describing the mutual primitives relations. To be invariant to transformations such as rotation and scaling, relative geometric features extracted from primitives are associated to nodes and edges as attributes. Concerning graph matching, due to the fact of NP-completeness of graph-subgraph isomorphism, a considerable attention is given to different strategies of inexact graph matching. We also present a new scoring function to compute a similarity score between two graphs, using the numerical values associated to the nodes and edges of the graphs. The adaptation of a greedy graph matching algorithm with the new scoring function demonstrates significant performance improvements over traditional exhaustive searches of graph matching.

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Reviews and comments:

Comment1 Hebin, May 25, 2008 at 11:21 a.m.:

I am interesting in your lecture .However ,I can not understand it . and I download and read the ppt of this lecture. I cannot Understand how to use Attributed Graph
to recognition. Can you send me this paper to my box of,please. Thank you....

Comment2 shabena, April 28, 2009 at 5:18 p.m.:

read in the use

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