Title :
Stability of invariant Fourier descriptors and its inference in the shape classification
Author_Institution :
Groupe Image, Inst. Nat. des Telecommun., Villeneuve d´´Ascq, France
fDate :
30 Aug-3 Sep 1992
Abstract :
Presents the study of a shape representation space by means of its identification to the invariants space. This approach has an algebraic meaning translated by the completion criterion for the set of invariants introduced by Crimmins (1982). The author introduces a new property for Fourier descriptors, the stability which expresses the fact that a low level divergence in the invariants does not induce a noticeable distortion of the shape. This stability gives a topologic meaning to the identification of the space shape with the space of invariants. A complete and stable set of Fourier descriptors with regard to the starting point and the direct group of similarities in the case of the planar closed contours is constructed
Keywords :
Fourier analysis; image recognition; image recognition; invariant Fourier descriptors; invariants space; planar closed contours; shape classification; shape representation; Biomedical equipment; Medical services; Object recognition; Orbital robotics; Robot vision systems; Shape; Stability criteria;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201944