articleTop 10% cited
A comparative study of texture measures with classification based on featured distributions
Pattern Recognition · 1996 · Vol. 29(1) · pp. 51–59
Timo Ojala(University of Oulu)Matti Pietikäinen✉(University of Oulu)David Harwood(University of Maryland, College Park)
Image Retrieval and Classification TechniquesMedical Image Segmentation TechniquesAdvanced Image and Video Retrieval TechniquesPattern recognition (psychology)Artificial intelligenceTexture (cosmology)Computer scienceFeature (linguistics)Sample (material)Image (mathematics)
Citations
6,763
FWCI
12.91
field-weighted impact
References
15
Percentile
99%
vs. same field & year
Citations per year
Cited by
Principal component analysis and local binary patterns: A comparative study using different databases
International Journal of Engineering in Computer Science · 2023 · 0 citations
A Completed Modeling of Local Binary Pattern Operator for Texture Classification
IEEE Transactions on Image Processing · 2010 · 2,098 citations
Description of interest regions with local binary patterns
Pattern Recognition · 2008 · 1,198 citations
1D-local binary pattern based feature extraction for classification of epileptic EEG signals
Applied Mathematics and Computation · 2014 · 278 citations
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2006 · 5,587 citations
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
IEEE Transactions on Image Processing · 2010 · 2,824 citations
Automated Visual Defect Detection for Flat Steel Surface: A Survey
IEEE Transactions on Instrumentation and Measurement · 2020 · 486 citations
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2002 · 15,129 citations
References
Information theory and statistics
Journal of the Franklin Institute · 1959 · 7,216 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
