Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (5): 107-113.doi: 10.3969/j.issn.1000-565X.2015.05.017

• Computer Science & Technology • Previous Articles     Next Articles

Multi-Scale Structure Tensor Image Retrieval Algorithm Based on Edge Tangent Flow Field

Zhang Jian-wei1 Huang Da-cheng1 Hu Zhen-peng1 Zhang Jing2#br#   

  1. 1. School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,Guangdong,China;2. No. 4 Oil Production Company,Daqing Oil Field Company Ltd. ,Daqing 163511,Heilongjiang,China
  • Received:2014-10-28 Revised:2015-02-05 Online:2015-05-25 Published:2015-05-07
  • Contact: 张见威(1969-),女,博士,副教授,主要从事图像和视频处理研究. E-mail:jwzhang@scut.edu.cn
  • About author:张见威(1969-),女,博士,副教授,主要从事图像和视频处理研究.
  • Supported by:

    Supported by the National Natural Science Foundation of China(61472145)

Abstract: In order to reduce the effects of weak edges and reinforce the shift invariance in sketch-based image re-trieval (SBIR),a multi-scale structure tensor retrieval algorithm on the basis of edge tangent flow field is pro-posed. In this algorithm,edge tangent flow field is used as a substitute for the gradient map of image,and the structure tensor is calculated directly on remarkable strong edges to suppress the effects of weak edges. Besides,structure tensor feature is extracted in the form of multi-scale partition to enhance the shift invariance. Experimental results indicate that the proposed algorithm is superior to the existing structure tensor method because it helps sup-press the effects of weak edges effectively,avoid instable significant edge of image described by image gradient di-rection,enhance the shift invariance of structure,and,thereby,improve the retrieval efficiency.

Key words: image retrieval, sketch, structure tensor, edge tangent flow field

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