Development of an Automatic Pollen Classification System Using Shape, Texture and Aperture Features.
Celeste ChudykHugo CastanedaRomain LegerIslem YahiaouiFrank BoochsPublished in: LWA (2015)
Keyphrases
- feature extraction
- feature vectors
- rotational invariant
- classification accuracy
- feature set
- textural features
- classification process
- extracted features
- feature space
- features extraction
- classification method
- texture information
- classification models
- texture features
- gabor filters
- image classification
- svm classifier
- geometric features
- image statistics
- texture classification
- benchmark datasets
- co occurrence
- appearance features
- feature values
- support vector machine svm
- shape descriptors
- class labels
- geometrical features
- gabor filtering
- machine learning
- brodatz textures
- texture segmentation
- gray level co occurrence matrix
- shape features
- texture analysis
- image features
- training set
- training data
- invariant features
- texture images
- surface orientation
- spatial layout
- multi view
- support vector machine
- support vector
- hand shape
- multiscale
- face recognition