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Digital Image Processing Home Class Information Class Schedule Handouts Project for Spring 2013 Project for Spring 2012 Project for Spring 2011 Project for Spring 2010 Project for Spring 2008 Project for Spring 2007 Project for Spring 2006 Project for Spring 2004 Project for Spring 2003 SCIEN Test Images MATLAB Tutorials Android Tutorials |
Spring 2012-2013 Prof. Bernd Girod Course Description Visual information plays an important role in almost all areas of our life. Today, much of this information is represented and processed digitally. Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing. EE368/CS232 is a graduate-level introductory course to the fundamentals of digital image processing. It emphasizes general principles of image processing, rather than specific applications. We expect to cover topics such as point operations, color processing, image thresholding/segmentation, morphological image processing, image filtering and deconvolution, eigenimages, noise reduction and restoration, scale-space techniques, feature extraction and recognition, image registration, and image matching. Lectures will be complemented by computer exercises where students develop their own image processing algorithms. For the term project, students will have the option of designing and implementing image processing algorithms on an Android mobile device. Enrollment is limited to 50 students. Expect EE368/CS232 to be offered each quarter in the next academic year as part of the EE Online departmental initiative. Recent Updates
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