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Spherical harmonics and distance transform for image representation and retrieval
journal contribution
posted on 2009-01-01, 00:00 authored by Atul SajjanharAtul Sajjanhar, G Lu, D Zhang, Jingyu HouJingyu Hou, Yi-Ping Phoebe ChenIn this paper, we have proposed a method for 2D image retrieval based on object shapes. The method relies on transforming the 2D images into 3D space based on distance transform. Spherical harmonics are obtained for the 3D data and used as descriptors for the underlying 2D images. The proposed method is compared against two existing methods which use spherical harmonics for shape based retrieval of images. MPEG-7 Still Images Content Set is used for performing experiments; this dataset consists of 3621 still images. Experimental results show that the performance of the proposed descriptors is significantly better than other methods in the same category.
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Journal
Lecture notes in computer scienceVolume
5788Pagination
309 - 316Publisher
Springer BerlinLocation
Berlin, GermanyPublisher DOI
ISSN
0302-9743eISSN
1611-3349Language
engPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2009, Springer-Verlag Berlin HeidelbergUsage metrics
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