A low-power neurosynaptic implementation of Local Binary Patterns for texture analysis.
Alexander AndreopoulosRodrigo Alvarez-IcazaAndrew S. CassidyMyron D. FlicknerPublished in: IJCNN (2016)
Keyphrases
- texture analysis
- low power
- local binary pattern
- texture classification
- power consumption
- high speed
- low cost
- cmos technology
- texture features
- texture descriptors
- image analysis
- rotation invariant
- multiresolution
- gray level
- texture segmentation
- illumination invariant
- texture images
- fractal dimension
- co occurrence
- feature extraction
- gabor filters
- image texture
- texture information
- ultra low power
- scale invariant
- logic circuits
- textural features
- feature descriptors
- multiscale
- face recognition
- real time
- spatial information
- power dissipation
- image segmentation
- image processing