PHYS/COMP/MATH 345 Digital Image Processing (3)
Three hours of lecture in the lab per week.
Prerequisite : consent of instructor.
We will consider the differences between analog and digital images, and show how formerly tedious imaging tasks can now be achieved using simple algorithms. We will address the general concepts and uses of image processing, including image restoration and enhancement. Some of this will involve a subjective element, and some will involve basic limitations and a compromise between general applicability and computational tractability. Computer-based exercises will be used extensively to implement examples and applications of various image processing techniques, and their performance will be studied on a variety of diverse synthetic and real images for the fields of medicine, robotics, consumer electronics and communications. An individual project report will be completed. We will use a freeware program, ImageJ, which has a particularly intuitive graphical user interface (GUI), which will allow us to investigate processing tasks quickly and conveniently, without needing programming expertise.