An improved local binary pattern operator for texture classification

• Published in: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1308 - 1311
• Main Authors: Lu, Fuxiang, Huang, Jun
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.03.2016
• Subjects: Binary codes; Conferences; Gray-scale; Histograms; Invariants; Lighting; local binary pattern; Operators; Pattern recognition; Roads; rotation invariance; Surface layer; Tasks; Testing; Texture; Texture classification; Training; Transformations
• DOI: 10.1109/ICASSP.2016.7471888

Based on pattern uniformity measure and the number of ones in the Local Binary Pattern (LBP) codes, this paper proposes an Improved Local Binary Pattern (ILBP) operator to describe local image texture more effectively. The ILBP operator discovers an important group of basic primitives such as lines, T-junctions, and cross-intersections, which are ignored by uniform LBP operator. Such local primitives are as crucial as those represented by uniform patterns for recognition tasks. The resulting ILBP feature is more discriminative than traditional LBP feature although they are both invariant in terms of monotonic gray-scale variation and rotation transformation.