Prerequisite: Mathematics 155 and Program in Computing 10A

Lecture, three hours; discussion, one hour. Study of image segmentation, feature extraction, object recognition, classification, and visualization with biomedical applications. Topics include region-growing, edge detection, mathematical morphology, clustering, neural networks, and volume rendering in lectures, case studies, and programming projects. S/U or letter grading. (Spring)

Instructor: Matt Brown, Ph.D