CS 556 Image Processing
Project based, dealing with basic principles of digital image processing and computer vision. Topics: digital image formats, geometric operations on digital images, filtering, histogramming, binarization of grayscale images, labeling binary images, perimeter and area determination, thinning operations, object recognition using global features, edge detection processes, and other topics as time permits. Before enrolling, students are expected to have completed CS 224 or the equivalent of an undergraduate algorithms course. Not open to students who have credit in CS 456.