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A Method of Protein Model Classification and Retrieval Using Bag-of-Visual-Features.
- Source :
-
Computational & Mathematical Methods in Medicine . Jan2014, p1-10. 10p. - Publication Year :
- 2014
-
Abstract
- 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, themultiview 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1748670X
- Database :
- Academic Search Index
- Journal :
- Computational & Mathematical Methods in Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 100486109
- Full Text :
- https://doi.org/10.1155/2014/269394