Scale-controlled area difference shape descriptor

Mingqiang Yang; Kidiyo Kpalma; Joseph Ronsin

doi:10.1117/12.702831

29 January 2007 Scale-controlled area difference shape descriptor

Mingqiang Yang, Kidiyo Kpalma, Joseph Ronsin

Proceedings Volume 6500, Document Recognition and Retrieval XIV; 650003 (2007) https://doi.org/10.1117/12.702831
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Mingqiang Yang, Kidiyo Kpalma, and Joseph Ronsin "Scale-controlled area difference shape descriptor", Proc. SPIE 6500, Document Recognition and Retrieval XIV, 650003 (29 January 2007); https://doi.org/10.1117/12.702831

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