- Title
- Spherical harmonics and distance transform for image representation and retrieval
- Creator
- Sajjanhar, Atul; Lu, Guojun; Zhang, Dengsheng; Hou, Jingyu; Chen, Yi-Ping Phoebe
- Date
- 2009
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/70365
- Identifier
- vital:6536
- Identifier
- http://users.monash.edu.au/~dengs/resource/papers/ideal09.pdf
- Identifier
- ISBN:9783642043932
- Abstract
- In 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.
- Publisher
- Springer-Verlag
- Relation
- Proceedings of the Intelligent Data Engineering and Automated Learning p. 309-316
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0801 Artificial Intelligence and Image Processing
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