English class: Code: CS340; Lecturer: Sergiu Nedevschi
For each week, the activities associated to this discipline are:
- Course: 2 hours
- Laboratory sessions: 2 hours
Students will implement several image processing applications (see Labs ) . The lab assistants may give you
short pieces of homework at the end of each lab seesion.
- Project: 1 hour
Students will recieve an individual assignment (see Project Assignment ). Each project hour will consist in discussion about the ongoing work for the projects implementation..
The course is designed to introduce students to theoretical concepts and practical issues associated with image processing.
Upon completion of the course, the student should be knowledgeable and competent in applying the concepts, and should be
capable of reading advanced textbooks and research literature in the image-processing field.
Knowledge/understanding: Image processing concepts, algorithms and methods understanding, using and evaluation
- Image formation and camera model
- Binary image processing
- Grey level image processing
- Stereo-vision basics
- Image processing algorithms design and implementation
- Image processing applications design and implementation