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Published on: October 11, 2018
A method of protein model classification and retrieval using bag-of-visual-features
Jinlin Ma1, Ziping Ma2, Baosheng Kang3
1School of Information and Technology, Northwest University, Xi'an 710120, China ; School of Mathematics and Information Science, North University of Nationalities, Yinchuan 750021, China.
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, 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.
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