Classification of Biological Objects Using Active Appearance Modelling and Color Cooccurrence Matrices

@inproceedings{Dahl2007ClassificationOB,
  title={Classification of Biological Objects Using Active Appearance Modelling and Color Cooccurrence Matrices},
  author={Anders Bjorholm Dahl and Henrik Aan{\ae}s and Rasmus Larsen and Bjarne K. Ersb\oll},
  booktitle={SCIA},
  year={2007}
}
We use the popular active appearance models (AAM) for extracting discriminative features from images of biological objects. The relevant discriminative features are combined principal component (PCA) vectors from the AAM and texture features from cooccurrence matrices. Texture features are extracted by extending the AAM’s with a textural warp guided by the AAM shape. Based on this, texture cooccurrence features are calculated. We use the different features for classifying the biological objects… CONTINUE READING