Goal:
Introduce digital image processing in practice.
Course description:
Students will learn, and obtain practical techniques used in digital image processing using MATLAB. The course starts with a short introduction to digital imaging with MATLAB, and low-level transformations such as binarizing, thresholding, grayscaling and gamma correction. Techniques based on the sliding window are introduced later for blurring and sharpening, as well as noise reduction. For noise removal, frequency-based solutions are introduced as well. The course concludes with a practical introduction to basic segmentation methods.