Computer Science ›› 2015, Vol. 42 ›› Issue (4): 297-301.doi: 10.11896/j.issn.1002-137X.2015.04.061

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Image Retrieval Method Research Based on BoC-BoF Feature

FENG Jin-li and YANG Hong-ju   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The fusion feature for representing content of images was investigated in order to optimize content-based ima-ge retrieval method.Firstly,RootSift-based Bag-of-Features (BoF) were extracted,which capture shape and edge information.Then,Bag-of-Colors (BoC) based on HSV were adopted to replace the traditional color histogram quantization method was adopted,which capture color information.Lastly,BoC-BoF algorithm which integrates BoC vectors and BoF vectors was proposed.BoC-BoF algorithm effectively realizes the integration of global features and local features.The obtained impressive results show that this algorithm is more effective than other methods in two datasets of this paper.

Key words: Bag-of-colors,Bag-of-features,Image retrieval,RootSift

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