Computer Vision & Robotics
Breda University of Applied Sciences
Course Details
Term Information
Course Content
This course introduces core techniques in computer vision, from image filtering and morphological operations to deep learning-based object detection and segmentation. Students gain practical experience through structured, hands-on exercises emphasizing learning by doing. Rather than focusing on theory alone, the course is designed around applying concepts directly to real-world images. Students develop the skills to design, implement, and evaluate vision pipelines with both classical and modern approaches.
Learning Outcomes
• Introduction to Digital Images • Thresholding and Filtering • Morphological Operations • Edge and Contour Detection • Image Segmentation • Object Detection with Deep Learning • Image Segmentation with Deep Learning • Multiclass Image Segmentation • Skeleton Analysis • Measuring Objects in Images