Improved Local Binary Pattern Based on a Novel Mapping Method for Texture Classification
Author:
Affiliation:
1. School of Information Engineering, Wuhan University of Technology,Wuhan,China
2. Jiujiang 707 Institute of Precision Mechatronics SCI&TECH Co. Ltd.,Jiujiang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10490442/10490456/10491045.pdf?arnumber=10491045
Reference14 articles.
1. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
2. Local binary features for texture classification: Taxonomy and experimental study
3. A Completed Modeling of Local Binary Pattern Operator for Texture Classification
4. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
5. Completed Local Binary Count for Rotation Invariant Texture Classification
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