Computer Vision & Robotics

Breda University of Applied Sciences

Department: Applied Data Science and AILocal Code: Y2B1
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Course Details

ECTS Credits:15
Language of Instruction:English
Mode of Delivery:In-person
Study Programme:Bachelor
Type of Course:Lecture, Project
Min Participants:1

Term Information

Semester:Autumn/Winter

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

Contact

Assigned Contact: Giuliana Scuderi

External Links

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Co-funded by the EU

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.