Introduction to image processing
Description
This course is focused on providing students with an introductory overview and basics of image processing including: definition of image, image analysis levels and processing stages, basics on preprocessing and transformations, ML applied to image segmentation.
Outline
Lecture 1
What is computer vision?
Concept of image
image analysis levels
basics on preprocessing and transformations
Introduction to ML applied to image segmentation.
Recommended textbooks
[1] Oppenheim, Alan V., John R. Buck, and Ronald W. Schafer. Discrete-time signal processing. Vol. 2. Upper Saddle River, NJ: Prentice Hall, 2001.
Resources
Course information (detailed syllabus, evaluation policies, important dates)
General course instructions and guidelines
Lecture 0: Motivation and course presentation
Slides
Lecture 1: Fundamentals