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Structured local binary Haar pattern for pixel-based graphics retrieval

Structured local binary Haar pattern for pixel-based graphics retrieval

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  • Author(s): S.-Z. Su 1 ; S.-Y. Chen 2 ; S.-Z. Li 1 ; S.-A. Li 2 ; D.-J. Duh 3
    • View affiliations
    • Affiliations: 1: Cognitive Science Department, Xiamen University, Xiamen, People's Republic of China
      2: Department of Computer Engineering and Science, Yuan-Ze University, Taiwan
      3: Department of Computer Science and Information Engineering, Ching Yun University, Taiwan
  • Source: Volume 46, Issue 14, 8 July 2010, p. 996 – 998
    DOI:  10.1049/el.2010.1104 , Print ISSN 0013-5194, Online ISSN 1350-911X
© The Institution of Engineering and Technology
Published

A feature, named structured local binary Haar pattern (SLBHP), is proposed for pixel-based graphics retrieval. The SLBHP is a hybrid of local binary pattern (LBP) and Haar wavelet. The SLBHP encodes the polarity rather than the magnitude of the difference between accumulated grey values of adjacent rectangles. The polarity relationships are then considered as a binary value as in LBP. Experimental results on graphics retrieval show that the discriminative power of SLBHP is superior to those of using edge points, Haar feature, and LBP even in noisy conditions.

Inspec keywords: Haar transforms; content-based retrieval; wavelet transforms; image retrieval

Other keywords: structured local binary Haar pattern; local binary pattern; pixel based graphics retrieval; Haar wavelet

Subjects: Information retrieval techniques; Integral transforms; Computer vision and image processing techniques

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