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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Improvement of the Disc Harmonic Moments Descriptor by an Exponentially Decaying Distance Transform
verfasst von : Noureddine Ennahnahi, Mohammed Oumsis, Mohammed Meknassi
Erschienen in: Structural, Syntactic, and Statistical Pattern Recognition
Verlag: Springer Berlin Heidelberg
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The authors propose an improvement of a recent region-based shape descriptor inspired by the 3D spherical harmonics: the Disk Harmonic Moments Descriptor (DHMD). The binary image is weighted by an exponentially decaying distance transform (EDDT) before applying the disc harmonic transform (DHT) introduced recently as a good shape representation. The performance of the improved DHMD is compared to other recent methods from the same category. Set B of the MPEG-7 CE-1-Shape database is used for experimental validation. To benchmark the performance of the compared descriptors precision-recall pair is employed. The proposed approach seems be more efficient and effective if compared to its competitors.