Text-aided object segmentation and classification in images
Object recognition in images is a popular research field with many applications including medicine, robotics and face recognition. The task of automatically finding and identifying objects in an image is challenging in the extreme. By looking at the problem from a new angle and including additional information beside the visual, the problem becomes less ill posed. In this thesis we investigate ho