Age-related macular degeneration (AMD) is the most common degenerative disease affecting the macular of the eye and the most common cause of irreversible sight loss in the United Kingdom. As the world’s population continues to age, there are new, more advanced imaging modalities. AMD is a key global challenge and there is more need for automated image analysis tools to deal with the increasing amounts and complexity of data. In this chapter, we give an overview of AMD from a clinical perspective, particularly pathological features such as lesions, their clinically relevant characterizations, and the role of imaging modalities such as color fundus in AMD diagnosis. We review work in the detection and segmentation of drusen, which allows them to be counted and their characteristics to be measured for more informed diagnoses. We extend this to complete automated AMD diagnosis both using detected drusen and independent of specific feature detection.