A copula based method for fish species classification

The purpose of this thesis is to develop a method for classification of the species of a fish given in an image. This method uses the state of the art multi-dimensional image descriptor HOG (Histogram of Oriented Gradients), and colour histograms to create representative feature vectors. In this work copula theory have been used to summarize the multi-dimensional features. Copula theory has been used extensively for analysing the bivariate data however, not much exploration has been done to find its application for analysing multivariate data. This work is one of the few attempts where copulas have been used to analyse multivariate data. The classification accuracy of this method is comparable with other reported methods. --Leaf ii.