A local adaptive image descriptor

作者:Ishraque S M Zahid*; Shoyaib Mohammad; Abdullah Al Wadud M; Hoque Md Monirul; Chae Oksam
来源:New Review of Hypermedia and Multimedia, 2013, 19(3-4): 286-298.
DOI:10.1080/13614568.2013.834983

摘要

The local binary pattern (LBP) is a robust but computationally simple approach in texture analysis. However, LBP performs poorly in the presence of noise and large illumination variation. Thus, a local adaptive image descriptor termed as LAID is introduced in this proposal. It is a ternary pattern and is able to generate persistent codes to represent microtextures in a given image, especially in noisy conditions. It can also generate stable texture codes if the pixel intensities change abruptly due to the illumination changes. Experimental results also show the superiority of the proposed method over other state-of-the-art methods.

  • 出版日期2013-12-1