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. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Ennahnahi, N., Oumsis, M., & Meknassi, M. (2010). Improvement of the disc harmonic moments descriptor by an exponentially decaying distance transform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6218 LNCS, pp. 503–511). https://doi.org/10.1007/978-3-642-14980-1_49
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