Parameterizing arbitrary shapes via Fourier descriptors for evidence-gathering extraction
Computer Vision and Image Understanding
Content-Based Image Retrieval Using Fourier Descriptors on a Logo Database
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Fourier-based geometric shape prior for snakes
Pattern Recognition Letters
Plant species identification using Elliptic Fourier leaf shape analysis
Computers and Electronics in Agriculture
Classification and numbering of teeth in dental bitewing images
Pattern Recognition
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Fourier descriptors (FD's) are widely used shape descriptors. By first warping the scanning speed of the contour before calculating the FD's, the shape approximation can be improved. This approach has never been properly tested on real applications. In this paper we compare these new shape descriptors to the regular FD's. A database of over 400 leaf shapes is approximated using these shape descriptors and compared to the approximation based on FD's. The error of the approximation was measured with the Hausdorff distance and modified Hausdorff distance, resulting for both criteria in an average improvement of more than 10% over approximation based on FD's.