Texture analysis of lace images using histogram and local binary patterns under rotation variation.
Wael Ben SoltanaAlice PorebskiNicolas VandenbrouckeAdeel AhmadDenis HamadPublished in: IPAS (2014)
Keyphrases
- texture analysis
- image texture
- local binary pattern
- texture classification
- rotation invariant
- image analysis
- gabor filters
- binary patterns
- texture characterization
- gray level
- texture discrimination
- fractal dimension
- texture information
- texture features
- gabor filtering
- texture segmentation
- multiresolution
- brodatz textures
- texture descriptors
- textural features
- gray level co occurrence matrix
- texture images
- input image
- rotation invariance
- co occurrence
- face recognition
- illumination invariant
- feature descriptors
- color features
- spatial information
- spatial frequency
- multi band
- invariant features
- feature extraction
- image collections
- image features
- distance measure
- image retrieval
- scale invariance
- feature set
- color histogram
- pixel intensities
- neural network
- image database
- background subtraction
- feature space
- pattern recognition
- image sequences