Rice Paper Classification Study Based on Signal Processing and Statistical Methods in Image Texture Analysis.
Haotian ZhaiHongbin HuangShaoyan HeWeiping LiuPublished in: Int. J. Softw. Innov. (2014)
Keyphrases
- texture analysis
- statistical methods
- gabor filtering
- textural features
- statistical analysis
- image analysis
- signal processing
- texture discrimination
- texture classification
- input image
- pattern spectrum
- machine learning methods
- multiscale
- texture description
- feature extraction
- gabor filters
- machine learning
- rotation invariant
- fractal dimension
- multiresolution
- image features
- classification accuracy
- image texture
- pattern recognition
- gray level
- texture features
- brodatz textures
- texture images
- texture segmentation
- image retrieval
- natural textures
- local binary pattern
- model selection
- texture characterization
- data sets
- data mining techniques
- higher order
- feature vectors
- image processing
- decision trees
- support vector
- image sequences
- data mining
- machine learning algorithms
- computer vision
- fractal analysis
- image segmentation
- similarity measure
- feature space
- pixel classification
- texture descriptors
- data sources
- co occurrence