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Proceedings Paper

Scale-controlled area difference shape descriptor
Author(s): Mingqiang Yang; Kidiyo Kpalma; Joseph Ronsin
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Paper Abstract

In this paper, we propose a shape representation and description well adapted to pattern recognition, particularly in the context of affine shape transformations. The proposed approach operates from a single closed contour. The parameterized contour is convolved with a Gaussian kernel. The curvature is calculated to determine the inflexion points and the main significant ones are kept by using a threshold defined by observing a segment-length between two curvature zero-crossing points. Then this filtered and simplified shape is registered with the original one. Finally, we separately calculate the areas between the two segments corresponding to these two scale-space representations. The proposed descriptor is a vector with components issued for each segment and the corresponding area. This article develops the new concepts: 1) compares the same segment under different scales representation; 2) chooses the appropriate scales by applying a threshold to the shape shortest-segment; 3) then proposes the algorithm and the conditions of merging and removing the short-segments. An experimental evaluation of robustness under affine transformations is presented on a shape database.

Paper Details

Date Published: 29 January 2007
PDF: 10 pages
Proc. SPIE 6500, Document Recognition and Retrieval XIV, 650003 (29 January 2007); doi: 10.1117/12.702831
Show Author Affiliations
Mingqiang Yang, IETR, CNRS, INSA de Rennes (France)
Kidiyo Kpalma, IETR, CNRS, INSA de Rennes (France)
Joseph Ronsin, IETR, CNRS, INSA de Rennes (France)


Published in SPIE Proceedings Vol. 6500:
Document Recognition and Retrieval XIV
Xiaofan Lin; Berrin A. Yanikoglu, Editor(s)

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