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A Method of Protein Model Classification and Retrieval Using Bag-of-Visual-Features
Joint Authors
Ma, Ziping
Ma, Jinlin
Kang, Baosheng
Lu, Ke
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this paper we propose a novel visual method for protein model classification and retrieval.
Different from the conventional methods, the key idea of the proposed method is to extract image features of proteins and measure the visual similarity between proteins.
Firstly, the multiview images are captured by vertices and planes of a given octahedron surrounding the protein.
Secondly, the local features are extracted from each image of the different views by the SURF algorithm and are vector quantized into visual words using a visual codebook.
Finally, KLD is employed to calculate the similarity distance between two feature vectors.
Experimental results show that the proposed method has encouraging performances for protein retrieval and categorization as shown in the comparison with other methods.
American Psychological Association (APA)
Ma, Jinlin& Ma, Ziping& Kang, Baosheng& Lu, Ke. 2014. A Method of Protein Model Classification and Retrieval Using Bag-of-Visual-Features. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034663
Modern Language Association (MLA)
Ma, Jinlin…[et al.]. A Method of Protein Model Classification and Retrieval Using Bag-of-Visual-Features. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1034663
American Medical Association (AMA)
Ma, Jinlin& Ma, Ziping& Kang, Baosheng& Lu, Ke. A Method of Protein Model Classification and Retrieval Using Bag-of-Visual-Features. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1034663
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034663