Spherical harmonics and distance transform for image representation and retrieval

Sajjanhar, Atul, Lu, Guojun, Zhang, Dengsheng, Hou, Jingyu and Chen, Yi-Ping Phoebe 2009, Spherical harmonics and distance transform for image representation and retrieval, Lecture notes in computer science, vol. 5788, pp. 309-316, doi: 10.1007/978-3-642-04394-9_38.

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Title Spherical harmonics and distance transform for image representation and retrieval
Author(s) Sajjanhar, AtulORCID iD for Sajjanhar, Atul orcid.org/0000-0002-0445-0573
Lu, Guojun
Zhang, Dengsheng
Hou, JingyuORCID iD for Hou, Jingyu orcid.org/0000-0002-6403-9786
Chen, Yi-Ping Phoebe
Journal name Lecture notes in computer science
Volume number 5788
Start page 309
End page 316
Total pages 8
Publisher Springer Berlin
Place of publication Berlin, Germany
Publication date 2009
ISSN 0302-9743
Keyword(s) Spherical harmonics
Content based image retrieval
Summary 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.
Language eng
DOI 10.1007/978-3-642-04394-9_38
Field of Research 080301 Bioinformatics Software
Socio Economic Objective 890299 Computer Software and Services not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
HERDC collection year 2009
Copyright notice ©2009, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30028574

Document type: Journal Article
Collection: School of Information and Business Analytics
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