Region of Interest Based Image Classification using time series analysis

An approach to Region Of Interest Based Image Classification (ROIBIC), based on a time series analysis approach, is described. The focus of the approach is the classification of MRI brain scan data according to the nature of the corpus callosum (a feature within such scans), however the approach also has general applicability. The advocated approach combines a number of image processing techniques combined with time series analysis, specifically dynamic time warping. Of note is the mechanism used to generate the desired time series. The application of the time series based ROIBIC demonstrates that the proposed approach performs both efficiently and effectively, obtaining a classification accuracy of over 98% in the case of the given application. Comparisons are also presented with a graph based ROIBIC approach.