Code: | EEC0100 | Acronym: | SBVI |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Automation, Control & Manufacturing Syst. |
OFICIAL | Basic Sciences for Electrotechnology |
Active? | Yes |
Web Page: | http://www.fe.up.pt/si/conteudos_adm.conteudos_list?pct_pag_id=1639&pct_parametros=p_ano_lectivo=2009/2010-y-p_cad_codigo=EEC0100-y-p_periodo=1S |
Responsible unit: | Department of Electrical and Computer Engineering |
Course/CS Responsible: | Master in Electrical and Computers Engineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MIEEC | 52 | Syllabus | 4 | - | 6 | 56 | 162 |
The main objectives to attain are the acquisition of knowledge on automatic vision systems, not only on the elements that constitute their modular structure, but also on the technology used in their implementation.
1. Acquisition of knowledge on automatic vision systems, not only on the elements that constitute their modular structure, but also on the technology used in their implementation (CDIO Syllabus 1.3, 1.4, 2.1, 2.3).
2. Demonstration of skills on the design, projection and implementation of automatic vision systems (CDIO Syllabus 4.2, 4.3, 4.4, 4.5).
3. Development of organisational skills, as well as autonomous work and bibliography research (CDIO Syllabus 2.4, 2.5, 3.3).
4. Demonstration of skills on teamwork (CDIO Syllabus 2.5, 3.1).
5. Development and demonstration of skills on written and oral communication (CDIO Syllabus 3.2)
1. Introductio. General structure of a vision-based system
2. Conditioning of an acquisition environment
3. Acquisition and formation of digital images
4. Preprocessing. Image operators. Application on image enhancement
5. Mathematical morphology
6. Image segmentation
7. Image analysis and representation
8. Image recognition and classification
Theoretical classes: presentation of themes, practical demonstration and case analysis
Theoretical-practical classes:
Problem solving, experimentation and testing on Matlab (toolbox of Image Processing), development of solutions on Matlab
Practical assignment outside classes:
Students have to do a mini-project (2/3 students) on themes chosen by them, in the area of “object recognition”, “defect detection and quality control”, “detection and object tracking”, “video surveillance”, etc
Students will also have to write a report and to orally present their project.
Designation | Weight (%) |
---|---|
Exame | 70,00 |
Trabalho laboratorial | 30,00 |
Total: | 100,00 |
Designation | Time (hours) |
---|---|
Estudo autónomo | 50,00 |
Frequência das aulas | 72,00 |
Trabalho laboratorial | 40,00 |
Total: | 162,00 |
Assessment components:
- Practical assignment (2/3 students) and report (PA);
- Oral presentation of the practical assignment (OP);
- Final Exam (FE).
Students have to do the practical assignment, as well as the oral presentation and report, to be admitted to exams.
The mark of the continuous assessment component will be based on professors’ opinion regarding students’ performance during the preparation of the project, as well as the quality of the report and presentation.
Practical assignment – CDIO Syllabus assessed: 1.3, 1.4, 2.1, 2.3, 2.4, 2.5, 3.1, 3.3, 4.2, 4.3, 4.4, 4.5.
Oral Presentation – CDIO Syllabus assessed: 3.1, 3.3, 4.2, 4.3, 4.4, 4.5.
Final Exam- CDIO Syllabus assessed: 1.3, 1.4, 2.1, 2.3, 4.2, 4.3, 4.4, 4.5.
Final Mark will be based on the mark of the continuous assessment component (AD) and on the final exam (NE). The same formula apply for recurso season and classification improvement.
Final markl=0.3*AD +0.7*NE
The above mentioned project
The only students with a special status are working-students. They have to do a practical assignment on the themes above mentioned. However, its length may be shorter.
Working-students can ask professors for a theme at the beginning of the semester, so that they
Students cannot improve the mark of the continuous assessment component. However, students can improve the mark of the exam.