EE 584 /EE 684

Introduction to Image Processing

Course Description
This course covers basic image processing principles and techniques with a brief introduction to machine vision. Students acquire theoretical and working knowledge of image processing approaches including image representation, transform methods, image filtering, multi resolution representation, edge detection, texture characterization, and motion analysis. This course demonstrates application of these methods to image enhancement, image restoration, and image compression, with emphasis on image quality metrics based on human visual perception. Selected areas in machine vision include image segmentation, elementary techniques in pattern recognition, and object representation. Numerous examples show how to apply these techniques. Suggested prerequisite: EE 582/682.