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Image Representation in Differential Space

  • Shengzhi Du
  • Barend Jacobus van Wyk
  • M. Antonie van Wyk
  • Guoyuan Qi
  • Xinghui Zhang
  • Chunling Tu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5359)

Abstract

In this paper, a derivative estimator is introduced to obtain differential information of images. Experiments show that differentials obtained by this estimator outperform the traditional Sobel operator and this estimator is practical for extracting differential image information. A new image representation in this differential space is also proposed. Differential sign sequences of images are used as the signature of image patterns. The Hamming distance is used for template matching. The proposed representation is invariant to brightness and contrast and is robust to noise because of the low pass property of the estimator. Template matching is used as an example to exhibit the advantage of this representation. Experiments demonstrate good performance of the proposed method.

Keywords

Discriminative Power Image Representation Template Match Gray Level Image Target Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Shengzhi Du
    • 1
  • Barend Jacobus van Wyk
    • 1
  • M. Antonie van Wyk
    • 1
  • Guoyuan Qi
    • 1
  • Xinghui Zhang
    • 2
  • Chunling Tu
    • 1
  1. 1.French South Africa Technical Institute of Electronics (FSATIE)Tshwane University of TechnologyPretoria
  2. 2.Tianjin University of Technology and EducationTianjinP.R. China

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