The aim of this course is to introduce basic image processing techniques and teach how these techniques are used in quality control, classification, counterfeit detection and automation systems of food and dairy products.

Image processing fundamentals: Image types, resolution, color spaces Image preprocessing techniques: Denoising, histogram equalization Object recognition, segmentation, and edge detection Feature extraction and classification Color, shape, surface, and defect analysis in food products Image processing applications in dairy products (cheese, yogurt, milk foam, etc.) Vision systems for counterfeiting and quality control Industrial camera systems and automation Fundamentals of image processing with deep learning Practical examples: Using OpenCV and Python Literature reviews and current research examples