An improved local binary pattern operator for texture classification

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,...

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Bibliographic Details
Published in2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1308 - 1311
Main Authors Lu, Fuxiang, Huang, Jun
Format Conference Proceeding Journal Article
LanguageEnglish
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
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Summary: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.
Bibliography:ObjectType-Article-2
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SourceType-Conference Papers & Proceedings-2
ISSN:2379-190X
DOI:10.1109/ICASSP.2016.7471888