Petersen Graph Multi-Orientation Based Multi-Scale Ternary Pattern (PGMO-MSTP): An Efficient Descriptor for Texture and Material Recognition.
Issam El KhadiriYoussef El MerabetAhmad S. TarawnehYassine RuichekDmitry ChetverikovRaja TouahniAhmad B. A. HassanatPublished in: IEEE Trans. Image Process. (2021)
Keyphrases
- keypoint detection
- multiscale
- keypoints
- feature extraction
- local binary pattern
- object recognition
- texture classification
- texture descriptors
- extended gaussian image
- texture patterns
- polar fourier
- gabor filters
- binary patterns
- recognition rate
- action recognition
- orientation histogram
- texture analysis
- texture features
- multiple scales
- face recognition
- texture information
- highly discriminative
- pattern matching
- spatial color
- directed graph
- graph patterns
- wavelet transform
- graph structure
- texture images
- image analysis
- scale invariant
- graph mining
- feature descriptors
- shape recognition
- spatial frequency
- image matching
- graph matching
- image processing
- weighted graph
- image representation
- feature space
- diffusion mri
- connected components
- image retrieval
- color texture
- recognition algorithm
- edge detection
- surface orientation
- computer vision
- bipartite graph