Zebra mussels behaviour detection, extraction and classification using wavelets and kernel methods
We have developed a fully automated method for extraction and analysis of the behaviour of Dreissena polymorpha. We have evaluated usefulness of the feature set used for classification. We have proposed a framework for the classification of control and stress conditions for the purpose of the risk analysis.
zebra mussel classification wavelet feature extraction bews