The ability to do robust, meaningful research with minirhizotron images is currently limited by the amount of time that can be spent by a human expert classifying the data. This poster focuses on presenting progress along a path towards the automated analysis of these images. It shows custom software that has been developed to aid in the classification process and filters which locate structures of interest in some cases.