Abstract
Because of their visual characteristic which consists of black background versus white foreground, extracting relevant descriptors from medical X-ray images remains a challenging problem for medical imaging researchers. In this paper, we conduct an empirical comparison of several feature descriptors in order to evaluate their efficiency in content based X-ray image retrieval. We use a collection of X-ray images from Image-CLEF2009 data set in order to assess the performance of nine different visual descriptors with respect to different X-ray image categories.