An introduction to the fundamentals of digital image processing including image representation, 2D linear systems theory and Fourier analysis, digital filtering and segmentation. Concentrates on practical techniques through an exposure to image processing applications in industry, science and medicine and assignments based on MATLAB numeric computation and visualization environments.

Prerequisite(s): Calculus 2303A/B or Calculus 2503A/B; Computer Science 2035A/B; or permission of the department.

Extra Information: 3 lecture hours.