BGLBP-based image background extraction method

نویسندگان

  • S. Hashem Davarpanah
  • Fatimah Khalid
  • Lili Nurliyana Abdullah
چکیده

Local Binary Pattern (LBP) is invariant to the monotonic changes in the grey scale domain. This property enables LBP to present a texture descriptor that can be useful in applications dealing with the local illumination changes. However, the existing versions of LBP are not able to handle image illumination changes, especially in outdoor environments. These non-patterned illumination changes disturb performance of the background extraction methods. In this paper, an extended version of LBP which is called Back Ground Local Binary Pattern (BGLBP) is presented. BGLBP is designed for the background extraction application but it is extendable to the other areas as a texture descriptor. BGLBP is an extension of Direction LBP (D-LBP), Centre-Symmetric LBP (CS-LBP), Uniform Local Binary Pattern (ULBP), and RIU-LBP (RotationInvariant Uniform LBP) and it has been designed to inherit the positive properties of previous versions. The performance of BGLBP as a part of background extraction method is investigated.

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عنوان ژورنال:
  • Int. Arab J. Inf. Technol.

دوره 13  شماره 

صفحات  -

تاریخ انتشار 2016