Machine Vision and Digital Image Analysis
This course introduces fundamental concepts and methods in digital image processing and machine vision, including classical techniques and modern deep learning approaches.
Instructor: Ing. Radek Marik, CSc.
Term: Academic Year
Location: LUT University
Course Overview
This course provides a comprehensive introduction to digital image processing and machine vision.
Students will learn:
- Fundamental steps of image processing and analysis
- Classical machine vision techniques
- Image segmentation and video foreground detection
- Deep learning methods including CNNs, GNNs, RNNs, and Transformer-based models
- Applications of multimodal large language models in vision tasks
- Practical implementation using Matlab, Python, or other suitable programming languages
Prerequisites
Recommended prior courses:
- Pattern Recognition and Machine Learning (BM40A0702)
- Digital Imaging and Image Preprocessing (BM40A1201)
- Introduction to Computational Intelligence and Machine Learning (BM40A0502)
Teaching Staff
Lectures
Ing. Radek Marik, CSc.
Exercises
Rong Gao
Bohao Xing